2. Cross-sample analysis

In this tutorial, we demonstrate how to perform prediction and evaluation on cross-sample scenario. We train XChrom model using one sample and then using another independent sample as the test set to evaluate the model’s transferability to different samples, thereby illustrating the model’s performance in handling data with inherent batch effects.

We utilized a publicly available dataset of single-cell multiome data collected from bone marrow mononuclear cells (BMMCs) of 12 healthy human donors. The dataset includes multiple batches arising from donor sources and sequencing platforms. All samples were prepared using a standardized protocol. The data was subsequently annotated to identify cell types and remove doublets.

• Data Preprocessing

  • As an example, we extracted two samples labeled s1d1 and s2d1 (where s denotes sequencing site and d denotes donor). We used s1d1 as the training set and s2d1 as the test set. For the training scATAC-seq data, we performed partitioning by cells and peaks to generate training/validation data for model input, following the same procedure described in the 1_Within-sample analysis tutorial. For the test scATAC-seq data, we used the entire test set for evaluation.

  • For the scRNA-seq data, we first performed batch effect correction on both s1d1 and s2d1 samples using Harmony (though alternative methods such as Scanorama, scVI, or ingest could be employed). The batch-corrected cell embeddings-typically named 'X_pca_harmony'-were stored in the respective scRNA-seq datasets of both samples and served as input for model training and prediction.

• Model Training

  XChrom takes two inputs: ① DNA sequences (one-hot encoded, 1 × 1344bp) and ② cell embeddings (cell number × 32). The model is trained to predict chromatin accessibility probabilities for each genomic region across all cells. Importantly, the cell embeddings used here are derived from batch-corrected scRNA-seq data from both samples.
• Prediction and Evaluation

  After training, we evaluate the preprocessed test sample from two perspectives:

  • Binary classification metrics: auROC and auPRC, as primary evaluation metrics, which were summarized at the overall, per-cell and per-peak levels.

  • Cell state fidelity: Using the neighbor score (NS) to quantify cross-modality neighborhood concordance by comparing scATAC-seq and scRNA-seq data, and the label score (LS) to evaluate the consistency of cell-type labels within local neighborhoods. Both metrics depend on a parameter k, the number of nearest neighbors in the cell-cell graph.

1. Download Data (BMMCs: s1d1-s2d1)

• The original data is sourced from GEO accession GSE194122. We extracted samples s1d1 and s2d1 from this dataset and made them available at: https://doi.org/10.5281/zenodo.16959682.

• After downloading, save the data as './data/2_cross_samples/s1d1_s2d1.h5ad'.

• Download the human genome file from: https://hgdownload.soe.ucsc.edu/goldenPath/hg38/bigZips/hg38.fa.gz and decompress it.

import os
os.environ["CUDA_VISIBLE_DEVICES"]="3,2,1,0"

import xchrom as xc
import scanpy as sc
import scanpy.external as sce

2. Read and filter data

adata = sc.read_h5ad('./data/2_cross_samples/s1d1_s2d1.h5ad')
adata

AnnData object with n_obs × n_vars = 10444 × 129921
    obs: 'cell_type', 'batch', 'Samplename'
    var: 'feature_types', 'gene_id'

adata_rna = adata[:, adata.var['feature_types']=='GEX']
adata_atac = adata[:, adata.var['feature_types']=='ATAC']

## Break down the features in var into chr, start, and end
features = adata_atac.var.index
chromosome_start_end = features.str.split("-", n=2, expand=True)
chromosome_start_end_df = chromosome_start_end.to_frame(index=False)
chromosome_start_end_df.columns = ["chr", "start", "end"]
chromosome_start_end_df.index = adata_atac.var.index
adata_atac.var['chr'] = chromosome_start_end_df['chr']
adata_atac.var['start'] = chromosome_start_end_df['start'].astype(int)
adata_atac.var['end'] = chromosome_start_end_df['end'].astype(int)
print(adata_atac.var[['chr', 'start', 'end']].head())

/tmp/ipykernel_61297/2766228937.py:7: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.
  adata_atac.var['chr'] = chromosome_start_end_df['chr']

                     chr   start     end
chr1-9776-10668     chr1    9776   10668
chr1-180726-181005  chr1  180726  181005
chr1-181117-181803  chr1  181117  181803
chr1-191133-192055  chr1  191133  192055
chr1-267562-268456  chr1  267562  268456

adata_rna

View of AnnData object with n_obs × n_vars = 10444 × 13431
    obs: 'cell_type', 'batch', 'Samplename'
    var: 'feature_types', 'gene_id'

train_rna = adata_rna[adata_rna.obs['Samplename'] == 'site1_donor1_multiome']
train_atac = adata_atac[adata_atac.obs['Samplename'] == 'site1_donor1_multiome']
test_rna = adata_rna[adata_rna.obs['Samplename'] == 'site2_donor1_multiome']
test_atac = adata_atac[adata_atac.obs['Samplename'] == 'site2_donor1_multiome']

train_rna,train_atac,test_rna,test_atac

(View of AnnData object with n_obs × n_vars = 6224 × 13431
     obs: 'cell_type', 'batch', 'Samplename'
     var: 'feature_types', 'gene_id',
 View of AnnData object with n_obs × n_vars = 6224 × 116490
     obs: 'cell_type', 'batch', 'Samplename'
     var: 'feature_types', 'gene_id', 'chr', 'start', 'end',
 View of AnnData object with n_obs × n_vars = 4220 × 13431
     obs: 'cell_type', 'batch', 'Samplename'
     var: 'feature_types', 'gene_id',
 View of AnnData object with n_obs × n_vars = 4220 × 116490
     obs: 'cell_type', 'batch', 'Samplename'
     var: 'feature_types', 'gene_id', 'chr', 'start', 'end')

### Filter data
train_rna, train_atac = xc.pp.filter_multiome_data(
    ad_rna = train_rna,
    ad_atac = train_atac,
    species = 'human',
    filter_ratio = 0.01
)

RNA data after filtering: View of AnnData object with n_obs × n_vars = 6224 × 12228
    obs: 'cell_type', 'batch', 'Samplename', 'n_genes'
    var: 'feature_types', 'gene_id', 'n_cells'
ATAC data after filtering: View of AnnData object with n_obs × n_vars = 6224 × 51571
    obs: 'cell_type', 'batch', 'Samplename', 'n_genes'
    var: 'feature_types', 'gene_id', 'chr', 'start', 'end', 'n_cells'

test_rna, test_atac = xc.pp.filter_multiome_data(
    ad_rna = test_rna,
    ad_atac = test_atac,
    species = 'human',
    filter_ratio = 0.01
)

RNA data after filtering: View of AnnData object with n_obs × n_vars = 4220 × 12210
    obs: 'cell_type', 'batch', 'Samplename', 'n_genes'
    var: 'feature_types', 'gene_id', 'n_cells'
ATAC data after filtering: View of AnnData object with n_obs × n_vars = 4220 × 56439
    obs: 'cell_type', 'batch', 'Samplename', 'n_genes'
    var: 'feature_types', 'gene_id', 'chr', 'start', 'end', 'n_cells'

train_atac.write('./data/2_cross_samples/train_atac.h5ad')
test_atac.write('./data/2_cross_samples/test_atac.h5ad')

/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/anndata/_core/anndata.py:1230: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.
  df[key] = c
/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/anndata/_core/anndata.py:1230: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.
  df[key] = c

Filtering was performed on the scATAC data of both the training and testing samples separately. We removed peaks accessible in fewer than 1% of cells and excluded sequences not belonging to chromosomes chr1-22, X, or Y. The filtered scATAC data was saved in './data/2_cross_samples'.

Similarly, the scRNA data of both training and testing samples were filtered to remove genes expressed in fewer than 1% of cells.

3. Process scRNA-seq data to generate raw cell embeddings (2 samples batch correction)

We use Harmony to correct batch effects between the two samples. After filtering, we concatenate the samples, perform PCA (e.g., 32 components) to embed the transcriptomic profiles, and then run Harmony on the PCs to iteratively remove dataset-specific effects. This yields batch-corrected embeddings stored as RNA.obsm['X_pca_harmony'], which represent each cell and serve as the raw cell embeddings for subsequent model input.

• Alternatively, latent embeddings from other integration methods—such as scVI or biology foundation models—can also be used as raw cell embeddings. Save the resulting array in RNA.obsm[cellembed_raw] (shape: n_cells × d) so the model can access it.

rna = train_rna.concatenate(test_rna, batch_key="batchid")
rna = xc.tl.calc_pca(rna, n_comps=32, max_value=10)
# Calculate the neighbors based on the PCA space before batch correction
sc.pp.neighbors(rna, use_rep='X_pca')
sc.tl.umap(rna)
sc.pl.umap(rna, color=['batch','cell_type'])

/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/anndata/_core/anndata.py:1763: FutureWarning: The AnnData.concatenate method is deprecated in favour of the anndata.concat function. Please use anndata.concat instead.

See the tutorial for concat at: https://anndata.readthedocs.io/en/latest/concatenation.html
  warnings.warn(
/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/scanpy/preprocessing/_simple.py:842: UserWarning: Received a view of an AnnData. Making a copy.
  view_to_actual(adata)

# Batch correction
sce.pp.harmony_integrate(rna, 'batchid')
'X_pca_harmony' in rna.obsm

2025-08-17 15:28:50,221 - harmonypy - INFO - Computing initial centroids with sklearn.KMeans...
2025-08-17 15:28:52,369 - harmonypy - INFO - sklearn.KMeans initialization complete.
2025-08-17 15:28:52,435 - harmonypy - INFO - Iteration 1 of 10
2025-08-17 15:28:54,739 - harmonypy - INFO - Iteration 2 of 10
2025-08-17 15:28:57,068 - harmonypy - INFO - Iteration 3 of 10
2025-08-17 15:28:59,430 - harmonypy - INFO - Converged after 3 iterations

True

# Calculate the neighbors based on the PCA space after batch correction
sc.pp.neighbors(rna, use_rep='X_pca_harmony')
sc.tl.umap(rna)
sc.pl.umap(rna, color=['batch','cell_type'])

rna.obs.index = rna.obs.index.str.replace(r'-\d+$', '', regex=True)
train_rna = rna[rna.obs['batch']=='s1d1']
test_rna = rna[rna.obs['batch']=='s2d1']
train_rna.write('./data/2_cross_samples/train_rna_harmony.h5ad')
test_rna.write('./data/2_cross_samples/test_rna_harmony.h5ad')

Now we have raw cell embeddings in RNA.obsm['X_pca_harmony'], and cell types in RNA.obs['cell_type'] as labels.

4. Training/test data prepare

## Generate data for model training
train_folder = './data/2_cross_samples/train_data/'
input_fasta = '/picb/bigdata/project/miaoyuanyuan/hg38.fa'
train_atac = sc.read_h5ad('./data/2_cross_samples/train_atac.h5ad')
dict = xc.pp.process_train_test_single(
    ad_atac=train_atac, ## can be a str, Path, or anndata.AnnData object
    input_fasta=input_fasta,
    output_path=train_folder
)

train/test data is saved in:  data/2_cross_samples/train_data
successful writing bed file.
successful writing train/test split file.
successful writing train/test anndata file.
successful writing sparse m.
Successfully saving all sequence h5 file...
Successfully saving trainval sequence h5 file...
Successfully saving test sequence h5 file...

## Generate data for model evaluation
test_folder = './data/2_cross_samples/test_data/'
test_atac = sc.read_h5ad('./data/2_cross_samples/test_atac.h5ad')
dict = xc.pp.process_test_dual(
    ad_atac=test_atac, ## can be a str, Path, or anndata.AnnData object
    input_fasta=input_fasta,
    output_path=test_folder
)

train/test data is saved in:  data/2_cross_samples/test_data
successful writing bed file.
successful writing sparse m.
start saving all sequence h5 file...

We performed preprocessing on the filtered scATAC data of s1d1 and s2d1 samples separately:

For the s1d1 training sample:

Following the same procedure as in the 1_Within-sample analysis tutorial, we partitioned the data using 90% of cells and 90% of peaks to generate train_val sets. This produced:

• ad_trainval.h5ad: containing training cells and training peaks

• m_trainval.npz: corresponding count matrix

• trainval_seqs.h5: base sequence file for training peaks

All files were saved in './data/2_cross_samples/train_data/'.

For the s2d1 test sample:

No partitioning was applied. The filtered scATAC data was directly converted into the required model input files:

• ad.h5ad

• m.npz

• all_seqs.h5

These files were saved in './data/2_cross_samples/test_data/'.

Note: The input_fasta parameter should be replaced with the path to the genome file corresponding to the species used in your dataset.

5. Train XChrom

• We use the preprocessed data from the s1d1 training set obtained above as sequence inputs for the model. The input_folder should contain all files generated during preprocessing. The batch-corrected X_pca_harmony embeddings derived from scRNA data are used as raw cell embeddings and serve as cell identity inputs to the model. If using dimensionality reduction results from other methods, they must be stored in cell_embedding_ad.obsm under the key cellembed_raw for extraction.

• If you want to compute NS(k=100) and LS(k=100) for monitoring the XChrom training process, you need to set trackscore = True and specify the celltype in either the RNA or ATAC H5AD file.

• The model is set to train for 1000 epochs by default, but an early stopping mechanism will be triggered if the increase in training auROC remains below 1e-6 for 50 consecutive epochs.

• The save_freq parameter determines the frequency of saving model parameters, with a default value of 1000 (meaning intermediate model parameters are not saved during training).

history = xc.tr.train_XChrom(
    input_folder='./data/2_cross_samples/train_data/',
    cell_embedding_ad='./data/2_cross_samples/train_rna_harmony.h5ad',
    cellembed_raw='X_pca_harmony',
    out_path='./data/2_cross_samples/train_out/',
    epochs = 1000,
    verbose = 1
)

=== Start training XChrom model ===
Input folder: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_data
Cell embedding file: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_rna_harmony.h5ad
Raw cell embedding key: X_pca_harmony
Output path: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_out
Model parameters: bottleneck=32, batch_size=128, lr=0.01
1. Load raw cell embedding and make z-score normalization...
Raw cell embedding saved to: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_rna_harmony.h5ad.obsm['X_pca_harmony']
Initial cell embedding saved to: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_rna_harmony.h5ad.obsm['zscore32_perpc']
Initial cell embedding shape: (6224, 32)
2. Load training data...
3. Prepare train/val data split...
Training peak number: 41772, Validation peak number: 4642
4. Create TensorFlow dataset...

2025-08-17 15:34:12.915082: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-08-17 15:34:14.522287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 21971 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:b1:00.0, compute capability: 8.6
2025-08-17 15:34:14.522987: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 21971 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:98:00.0, compute capability: 8.6
2025-08-17 15:34:14.523430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 21971 MB memory:  -> device: 2, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:4b:00.0, compute capability: 8.6
2025-08-17 15:34:14.523840: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 193 MB memory:  -> device: 3, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:31:00.0, compute capability: 8.6

5. Build and compile model...
Model: "model"
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to
==================================================================================================
sequence (InputLayer)           [(None, 1344, 4)]    0
__________________________________________________________________________________________________
stochastic_reverse_complement ( ((None, 1344, 4), () 0           sequence[0][0]
__________________________________________________________________________________________________
stochastic_shift (StochasticShi (None, 1344, 4)      0           stochastic_reverse_complement[0][
__________________________________________________________________________________________________
gelu (GELU)                     (None, 1344, 4)      0           stochastic_shift[0][0]
__________________________________________________________________________________________________
conv1d (Conv1D)                 (None, 1344, 288)    19584       gelu[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 1344, 288)    1152        conv1d[0][0]
__________________________________________________________________________________________________
max_pooling1d (MaxPooling1D)    (None, 448, 288)     0           batch_normalization[0][0]
__________________________________________________________________________________________________
gelu_1 (GELU)                   (None, 448, 288)     0           max_pooling1d[0][0]
__________________________________________________________________________________________________
conv1d_1 (Conv1D)               (None, 448, 288)     414720      gelu_1[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 448, 288)     1152        conv1d_1[0][0]
__________________________________________________________________________________________________
max_pooling1d_1 (MaxPooling1D)  (None, 224, 288)     0           batch_normalization_1[0][0]
__________________________________________________________________________________________________
gelu_2 (GELU)                   (None, 224, 288)     0           max_pooling1d_1[0][0]
__________________________________________________________________________________________________
conv1d_2 (Conv1D)               (None, 224, 323)     465120      gelu_2[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 224, 323)     1292        conv1d_2[0][0]
__________________________________________________________________________________________________
max_pooling1d_2 (MaxPooling1D)  (None, 112, 323)     0           batch_normalization_2[0][0]
__________________________________________________________________________________________________
gelu_3 (GELU)                   (None, 112, 323)     0           max_pooling1d_2[0][0]
__________________________________________________________________________________________________
conv1d_3 (Conv1D)               (None, 112, 363)     586245      gelu_3[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 112, 363)     1452        conv1d_3[0][0]
__________________________________________________________________________________________________
max_pooling1d_3 (MaxPooling1D)  (None, 56, 363)      0           batch_normalization_3[0][0]
__________________________________________________________________________________________________
gelu_4 (GELU)                   (None, 56, 363)      0           max_pooling1d_3[0][0]
__________________________________________________________________________________________________
conv1d_4 (Conv1D)               (None, 56, 407)      738705      gelu_4[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 56, 407)      1628        conv1d_4[0][0]
__________________________________________________________________________________________________
max_pooling1d_4 (MaxPooling1D)  (None, 28, 407)      0           batch_normalization_4[0][0]
__________________________________________________________________________________________________
gelu_5 (GELU)                   (None, 28, 407)      0           max_pooling1d_4[0][0]
__________________________________________________________________________________________________
conv1d_5 (Conv1D)               (None, 28, 456)      927960      gelu_5[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 28, 456)      1824        conv1d_5[0][0]
__________________________________________________________________________________________________
max_pooling1d_5 (MaxPooling1D)  (None, 14, 456)      0           batch_normalization_5[0][0]
__________________________________________________________________________________________________
gelu_6 (GELU)                   (None, 14, 456)      0           max_pooling1d_5[0][0]
__________________________________________________________________________________________________
conv1d_6 (Conv1D)               (None, 14, 512)      1167360     gelu_6[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 14, 512)      2048        conv1d_6[0][0]
__________________________________________________________________________________________________
max_pooling1d_6 (MaxPooling1D)  (None, 7, 512)       0           batch_normalization_6[0][0]
__________________________________________________________________________________________________
gelu_7 (GELU)                   (None, 7, 512)       0           max_pooling1d_6[0][0]
__________________________________________________________________________________________________
conv1d_7 (Conv1D)               (None, 7, 256)       131072      gelu_7[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 7, 256)       1024        conv1d_7[0][0]
__________________________________________________________________________________________________
gelu_8 (GELU)                   (None, 7, 256)       0           batch_normalization_7[0][0]
__________________________________________________________________________________________________
reshape (Reshape)               (None, 1, 1792)      0           gelu_8[0][0]
__________________________________________________________________________________________________
dense (Dense)                   (None, 1, 32)        57344       reshape[0][0]
__________________________________________________________________________________________________
cell_embed (InputLayer)         [(None, 5602, 32)]   0
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 1, 32)        128         dense[0][0]
__________________________________________________________________________________________________
lambda (Lambda)                 (None, 5602, 32)     0           cell_embed[0][0]
__________________________________________________________________________________________________
dropout (Dropout)               (None, 1, 32)        0           batch_normalization_8[0][0]
__________________________________________________________________________________________________
layer_normalization (LayerNorma (None, 5602, 32)     64          lambda[0][0]
__________________________________________________________________________________________________
gelu_9 (GELU)                   (None, 1, 32)        0           dropout[0][0]
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 5602, 64)     2112        layer_normalization[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze (TFOpLambd (None, 32)           0           gelu_9[0][0]
__________________________________________________________________________________________________
sequencing_depth (InputLayer)   [(None, 5602)]       0
__________________________________________________________________________________________________
final_cellembed (Dense)         (None, 5602, 32)     2080        dense_1[0][0]
__________________________________________________________________________________________________
tf.expand_dims (TFOpLambda)     (None, 32, 1)        0           tf.compat.v1.squeeze[0][0]
__________________________________________________________________________________________________
tf.expand_dims_1 (TFOpLambda)   (None, 5602, 1)      0           sequencing_depth[0][0]
__________________________________________________________________________________________________
tf.linalg.matmul (TFOpLambda)   (None, 5602, 1)      0           final_cellembed[0][0]
                                                                 tf.expand_dims[0][0]
__________________________________________________________________________________________________
dense_2 (Dense)                 (None, 5602, 1)      2           tf.expand_dims_1[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze_2 (TFOpLam (None, 5602)         0           tf.linalg.matmul[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze_1 (TFOpLam (None, 5602)         0           dense_2[0][0]
__________________________________________________________________________________________________
tf.__operators__.add (TFOpLambd (None, 5602)         0           tf.compat.v1.squeeze_2[0][0]
                                                                 tf.compat.v1.squeeze_1[0][0]
__________________________________________________________________________________________________
tf.math.sigmoid (TFOpLambda)    (None, 5602)         0           tf.__operators__.add[0][0]
==================================================================================================
Total params: 4,524,068
Trainable params: 4,518,218
Non-trainable params: 5,850
__________________________________________________________________________________________________
6. Set training callbacks...
7. Start training...
Model will be saved to: data/2_cross_samples/train_out/E1000best_model.h5
Epoch 1/1000

2025-08-17 15:34:18.467559: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
2025-08-17 15:34:22.797225: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8800
2025-08-17 15:34:22.878255: I tensorflow/stream_executor/cuda/cuda_blas.cc:1760] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.
Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.
Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.
Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.

327/327 [==============================] - 91s 247ms/step - loss: 0.2058 - binary_accuracy: 0.9409 - auc: 0.7443 - pr: 0.1537 - val_loss: 0.1866 - val_binary_accuracy: 0.9435 - val_auc: 0.7863 - val_pr: 0.2148
Epoch 2/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1875 - binary_accuracy: 0.9434 - auc: 0.7810 - pr: 0.2166 - val_loss: 0.1847 - val_binary_accuracy: 0.9436 - val_auc: 0.7932 - val_pr: 0.2300
Epoch 3/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1852 - binary_accuracy: 0.9434 - auc: 0.7884 - pr: 0.2288 - val_loss: 0.1841 - val_binary_accuracy: 0.9435 - val_auc: 0.7944 - val_pr: 0.2306
Epoch 4/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1843 - binary_accuracy: 0.9435 - auc: 0.7911 - pr: 0.2329 - val_loss: 0.1837 - val_binary_accuracy: 0.9435 - val_auc: 0.7948 - val_pr: 0.2304
Epoch 5/1000
327/327 [==============================] - 79s 233ms/step - loss: 0.1838 - binary_accuracy: 0.9435 - auc: 0.7930 - pr: 0.2358 - val_loss: 0.1881 - val_binary_accuracy: 0.9435 - val_auc: 0.7964 - val_pr: 0.2294
Epoch 6/1000
327/327 [==============================] - 79s 233ms/step - loss: 0.1832 - binary_accuracy: 0.9435 - auc: 0.7951 - pr: 0.2384 - val_loss: 0.1836 - val_binary_accuracy: 0.9435 - val_auc: 0.7958 - val_pr: 0.2332
Epoch 7/1000
327/327 [==============================] - 78s 232ms/step - loss: 0.1829 - binary_accuracy: 0.9435 - auc: 0.7961 - pr: 0.2404 - val_loss: 0.1831 - val_binary_accuracy: 0.9436 - val_auc: 0.7978 - val_pr: 0.2374
Epoch 8/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1827 - binary_accuracy: 0.9435 - auc: 0.7967 - pr: 0.2413 - val_loss: 0.1840 - val_binary_accuracy: 0.9435 - val_auc: 0.7973 - val_pr: 0.2378
Epoch 9/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1821 - binary_accuracy: 0.9436 - auc: 0.7984 - pr: 0.2448 - val_loss: 0.1822 - val_binary_accuracy: 0.9437 - val_auc: 0.7998 - val_pr: 0.2418
Epoch 10/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1819 - binary_accuracy: 0.9436 - auc: 0.7991 - pr: 0.2461 - val_loss: 0.1838 - val_binary_accuracy: 0.9437 - val_auc: 0.7991 - val_pr: 0.2397
Epoch 11/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1817 - binary_accuracy: 0.9436 - auc: 0.7996 - pr: 0.2468 - val_loss: 0.1951 - val_binary_accuracy: 0.9428 - val_auc: 0.7936 - val_pr: 0.2252
Epoch 12/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1814 - binary_accuracy: 0.9436 - auc: 0.8008 - pr: 0.2484 - val_loss: 0.1828 - val_binary_accuracy: 0.9436 - val_auc: 0.7981 - val_pr: 0.2359
Epoch 13/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1812 - binary_accuracy: 0.9436 - auc: 0.8015 - pr: 0.2497 - val_loss: 0.1825 - val_binary_accuracy: 0.9436 - val_auc: 0.7992 - val_pr: 0.2395
Epoch 14/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1808 - binary_accuracy: 0.9437 - auc: 0.8030 - pr: 0.2516 - val_loss: 0.1905 - val_binary_accuracy: 0.9433 - val_auc: 0.7982 - val_pr: 0.2368
Epoch 15/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1804 - binary_accuracy: 0.9437 - auc: 0.8044 - pr: 0.2533 - val_loss: 0.1817 - val_binary_accuracy: 0.9437 - val_auc: 0.8013 - val_pr: 0.2430
Epoch 16/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1802 - binary_accuracy: 0.9437 - auc: 0.8052 - pr: 0.2547 - val_loss: 0.1829 - val_binary_accuracy: 0.9437 - val_auc: 0.8019 - val_pr: 0.2429
Epoch 17/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1798 - binary_accuracy: 0.9437 - auc: 0.8067 - pr: 0.2558 - val_loss: 0.1814 - val_binary_accuracy: 0.9438 - val_auc: 0.8035 - val_pr: 0.2470
Epoch 18/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1793 - binary_accuracy: 0.9437 - auc: 0.8088 - pr: 0.2584 - val_loss: 0.1841 - val_binary_accuracy: 0.9435 - val_auc: 0.7964 - val_pr: 0.2353
Epoch 19/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1793 - binary_accuracy: 0.9437 - auc: 0.8089 - pr: 0.2572 - val_loss: 0.1873 - val_binary_accuracy: 0.9435 - val_auc: 0.7913 - val_pr: 0.2336
Epoch 20/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1789 - binary_accuracy: 0.9437 - auc: 0.8105 - pr: 0.2589 - val_loss: 0.1824 - val_binary_accuracy: 0.9437 - val_auc: 0.8005 - val_pr: 0.2433
Epoch 21/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1784 - binary_accuracy: 0.9438 - auc: 0.8122 - pr: 0.2614 - val_loss: 0.1830 - val_binary_accuracy: 0.9437 - val_auc: 0.7981 - val_pr: 0.2362
Epoch 22/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1780 - binary_accuracy: 0.9438 - auc: 0.8138 - pr: 0.2631 - val_loss: 0.1811 - val_binary_accuracy: 0.9437 - val_auc: 0.8050 - val_pr: 0.2456
Epoch 23/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1776 - binary_accuracy: 0.9438 - auc: 0.8159 - pr: 0.2641 - val_loss: 0.1813 - val_binary_accuracy: 0.9436 - val_auc: 0.8059 - val_pr: 0.2413
Epoch 24/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1769 - binary_accuracy: 0.9438 - auc: 0.8188 - pr: 0.2658 - val_loss: 0.1815 - val_binary_accuracy: 0.9437 - val_auc: 0.8092 - val_pr: 0.2485
Epoch 25/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1764 - binary_accuracy: 0.9438 - auc: 0.8209 - pr: 0.2681 - val_loss: 0.1803 - val_binary_accuracy: 0.9437 - val_auc: 0.8102 - val_pr: 0.2473
Epoch 26/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1762 - binary_accuracy: 0.9438 - auc: 0.8219 - pr: 0.2678 - val_loss: 0.1802 - val_binary_accuracy: 0.9436 - val_auc: 0.8103 - val_pr: 0.2478
Epoch 27/1000
327/327 [==============================] - 80s 233ms/step - loss: 0.1756 - binary_accuracy: 0.9438 - auc: 0.8240 - pr: 0.2698 - val_loss: 0.1839 - val_binary_accuracy: 0.9436 - val_auc: 0.8016 - val_pr: 0.2402
Epoch 28/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1753 - binary_accuracy: 0.9438 - auc: 0.8251 - pr: 0.2715 - val_loss: 0.1795 - val_binary_accuracy: 0.9438 - val_auc: 0.8114 - val_pr: 0.2476
Epoch 29/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1750 - binary_accuracy: 0.9438 - auc: 0.8260 - pr: 0.2725 - val_loss: 0.1803 - val_binary_accuracy: 0.9437 - val_auc: 0.8098 - val_pr: 0.2468
Epoch 30/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1748 - binary_accuracy: 0.9439 - auc: 0.8269 - pr: 0.2736 - val_loss: 0.1796 - val_binary_accuracy: 0.9438 - val_auc: 0.8110 - val_pr: 0.2500
Epoch 31/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1745 - binary_accuracy: 0.9439 - auc: 0.8282 - pr: 0.2747 - val_loss: 0.1798 - val_binary_accuracy: 0.9438 - val_auc: 0.8108 - val_pr: 0.2472
Epoch 32/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1741 - binary_accuracy: 0.9439 - auc: 0.8294 - pr: 0.2761 - val_loss: 0.1807 - val_binary_accuracy: 0.9437 - val_auc: 0.8096 - val_pr: 0.2472
Epoch 33/1000
327/327 [==============================] - 73s 221ms/step - loss: 0.1739 - binary_accuracy: 0.9439 - auc: 0.8301 - pr: 0.2766 - val_loss: 0.1794 - val_binary_accuracy: 0.9437 - val_auc: 0.8127 - val_pr: 0.2518
Epoch 34/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1735 - binary_accuracy: 0.9439 - auc: 0.8313 - pr: 0.2789 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8131 - val_pr: 0.2526
Epoch 35/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1735 - binary_accuracy: 0.9439 - auc: 0.8318 - pr: 0.2780 - val_loss: 0.1791 - val_binary_accuracy: 0.9438 - val_auc: 0.8128 - val_pr: 0.2515
Epoch 36/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1731 - binary_accuracy: 0.9439 - auc: 0.8332 - pr: 0.2801 - val_loss: 0.1797 - val_binary_accuracy: 0.9437 - val_auc: 0.8121 - val_pr: 0.2495
Epoch 37/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1729 - binary_accuracy: 0.9439 - auc: 0.8337 - pr: 0.2806 - val_loss: 0.1795 - val_binary_accuracy: 0.9437 - val_auc: 0.8133 - val_pr: 0.2503
Epoch 38/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1726 - binary_accuracy: 0.9439 - auc: 0.8348 - pr: 0.2813 - val_loss: 0.1795 - val_binary_accuracy: 0.9436 - val_auc: 0.8127 - val_pr: 0.2487
Epoch 39/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1724 - binary_accuracy: 0.9439 - auc: 0.8355 - pr: 0.2817 - val_loss: 0.1794 - val_binary_accuracy: 0.9436 - val_auc: 0.8132 - val_pr: 0.2512
Epoch 40/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1722 - binary_accuracy: 0.9439 - auc: 0.8361 - pr: 0.2831 - val_loss: 0.1790 - val_binary_accuracy: 0.9437 - val_auc: 0.8135 - val_pr: 0.2493
Epoch 41/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1722 - binary_accuracy: 0.9439 - auc: 0.8362 - pr: 0.2833 - val_loss: 0.1791 - val_binary_accuracy: 0.9437 - val_auc: 0.8131 - val_pr: 0.2493
Epoch 42/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1720 - binary_accuracy: 0.9440 - auc: 0.8371 - pr: 0.2835 - val_loss: 0.1790 - val_binary_accuracy: 0.9437 - val_auc: 0.8146 - val_pr: 0.2527
Epoch 43/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1717 - binary_accuracy: 0.9440 - auc: 0.8381 - pr: 0.2850 - val_loss: 0.1797 - val_binary_accuracy: 0.9437 - val_auc: 0.8127 - val_pr: 0.2485
Epoch 44/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1717 - binary_accuracy: 0.9440 - auc: 0.8381 - pr: 0.2847 - val_loss: 0.1794 - val_binary_accuracy: 0.9437 - val_auc: 0.8132 - val_pr: 0.2498
Epoch 45/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1714 - binary_accuracy: 0.9440 - auc: 0.8390 - pr: 0.2856 - val_loss: 0.1813 - val_binary_accuracy: 0.9436 - val_auc: 0.8112 - val_pr: 0.2455
Epoch 46/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1713 - binary_accuracy: 0.9440 - auc: 0.8395 - pr: 0.2860 - val_loss: 0.1790 - val_binary_accuracy: 0.9437 - val_auc: 0.8144 - val_pr: 0.2517
Epoch 47/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1710 - binary_accuracy: 0.9440 - auc: 0.8403 - pr: 0.2869 - val_loss: 0.1783 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2544
Epoch 48/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1709 - binary_accuracy: 0.9440 - auc: 0.8409 - pr: 0.2875 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8150 - val_pr: 0.2528
Epoch 49/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1709 - binary_accuracy: 0.9440 - auc: 0.8410 - pr: 0.2878 - val_loss: 0.1792 - val_binary_accuracy: 0.9436 - val_auc: 0.8128 - val_pr: 0.2485
Epoch 50/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1708 - binary_accuracy: 0.9440 - auc: 0.8413 - pr: 0.2871 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8151 - val_pr: 0.2514
Epoch 51/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1706 - binary_accuracy: 0.9440 - auc: 0.8417 - pr: 0.2882 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8147 - val_pr: 0.2537
Epoch 52/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1705 - binary_accuracy: 0.9440 - auc: 0.8421 - pr: 0.2885 - val_loss: 0.1810 - val_binary_accuracy: 0.9436 - val_auc: 0.8136 - val_pr: 0.2484
Epoch 53/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1703 - binary_accuracy: 0.9440 - auc: 0.8430 - pr: 0.2895 - val_loss: 0.1800 - val_binary_accuracy: 0.9437 - val_auc: 0.8132 - val_pr: 0.2499
Epoch 54/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1702 - binary_accuracy: 0.9440 - auc: 0.8431 - pr: 0.2894 - val_loss: 0.1804 - val_binary_accuracy: 0.9436 - val_auc: 0.8131 - val_pr: 0.2468
Epoch 55/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1701 - binary_accuracy: 0.9440 - auc: 0.8435 - pr: 0.2902 - val_loss: 0.1789 - val_binary_accuracy: 0.9436 - val_auc: 0.8155 - val_pr: 0.2506
Epoch 56/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1699 - binary_accuracy: 0.9440 - auc: 0.8442 - pr: 0.2912 - val_loss: 0.1796 - val_binary_accuracy: 0.9436 - val_auc: 0.8131 - val_pr: 0.2496
Epoch 57/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1699 - binary_accuracy: 0.9440 - auc: 0.8444 - pr: 0.2908 - val_loss: 0.1786 - val_binary_accuracy: 0.9436 - val_auc: 0.8161 - val_pr: 0.2508
Epoch 58/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1697 - binary_accuracy: 0.9440 - auc: 0.8448 - pr: 0.2917 - val_loss: 0.1798 - val_binary_accuracy: 0.9435 - val_auc: 0.8150 - val_pr: 0.2498
Epoch 59/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1695 - binary_accuracy: 0.9440 - auc: 0.8457 - pr: 0.2924 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8164 - val_pr: 0.2533
Epoch 60/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1694 - binary_accuracy: 0.9440 - auc: 0.8459 - pr: 0.2922 - val_loss: 0.1784 - val_binary_accuracy: 0.9435 - val_auc: 0.8160 - val_pr: 0.2533
Epoch 61/1000
327/327 [==============================] - 69s 204ms/step - loss: 0.1694 - binary_accuracy: 0.9440 - auc: 0.8460 - pr: 0.2927 - val_loss: 0.1783 - val_binary_accuracy: 0.9437 - val_auc: 0.8161 - val_pr: 0.2542
Epoch 62/1000
327/327 [==============================] - 72s 210ms/step - loss: 0.1693 - binary_accuracy: 0.9440 - auc: 0.8464 - pr: 0.2927 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2548
Epoch 63/1000
327/327 [==============================] - 227s 690ms/step - loss: 0.1693 - binary_accuracy: 0.9440 - auc: 0.8462 - pr: 0.2926 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2535
Epoch 64/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1692 - binary_accuracy: 0.9440 - auc: 0.8466 - pr: 0.2932 - val_loss: 0.1791 - val_binary_accuracy: 0.9436 - val_auc: 0.8145 - val_pr: 0.2517
Epoch 65/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1690 - binary_accuracy: 0.9441 - auc: 0.8473 - pr: 0.2940 - val_loss: 0.1790 - val_binary_accuracy: 0.9436 - val_auc: 0.8155 - val_pr: 0.2534
Epoch 66/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1689 - binary_accuracy: 0.9441 - auc: 0.8475 - pr: 0.2939 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8145 - val_pr: 0.2515
Epoch 67/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1689 - binary_accuracy: 0.9440 - auc: 0.8477 - pr: 0.2943 - val_loss: 0.1800 - val_binary_accuracy: 0.9435 - val_auc: 0.8136 - val_pr: 0.2487
Epoch 68/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1688 - binary_accuracy: 0.9441 - auc: 0.8480 - pr: 0.2947 - val_loss: 0.1791 - val_binary_accuracy: 0.9437 - val_auc: 0.8156 - val_pr: 0.2531
Epoch 69/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1686 - binary_accuracy: 0.9440 - auc: 0.8485 - pr: 0.2949 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2539
Epoch 70/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1685 - binary_accuracy: 0.9441 - auc: 0.8488 - pr: 0.2955 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8180 - val_pr: 0.2561
Epoch 71/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1685 - binary_accuracy: 0.9441 - auc: 0.8490 - pr: 0.2958 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8159 - val_pr: 0.2533
Epoch 72/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1684 - binary_accuracy: 0.9441 - auc: 0.8492 - pr: 0.2961 - val_loss: 0.1788 - val_binary_accuracy: 0.9437 - val_auc: 0.8152 - val_pr: 0.2534
Epoch 73/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1683 - binary_accuracy: 0.9441 - auc: 0.8494 - pr: 0.2963 - val_loss: 0.1788 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2532
Epoch 74/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1682 - binary_accuracy: 0.9441 - auc: 0.8498 - pr: 0.2966 - val_loss: 0.1794 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2537
Epoch 75/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1682 - binary_accuracy: 0.9441 - auc: 0.8497 - pr: 0.2968 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2558
Epoch 76/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1681 - binary_accuracy: 0.9441 - auc: 0.8502 - pr: 0.2971 - val_loss: 0.1784 - val_binary_accuracy: 0.9435 - val_auc: 0.8173 - val_pr: 0.2546
Epoch 77/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1681 - binary_accuracy: 0.9441 - auc: 0.8502 - pr: 0.2972 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8160 - val_pr: 0.2526
Epoch 78/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1679 - binary_accuracy: 0.9441 - auc: 0.8507 - pr: 0.2978 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8170 - val_pr: 0.2552
Epoch 79/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1680 - binary_accuracy: 0.9441 - auc: 0.8506 - pr: 0.2976 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8168 - val_pr: 0.2547
Epoch 80/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1680 - binary_accuracy: 0.9441 - auc: 0.8505 - pr: 0.2970 - val_loss: 0.1786 - val_binary_accuracy: 0.9435 - val_auc: 0.8173 - val_pr: 0.2544
Epoch 81/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1678 - binary_accuracy: 0.9441 - auc: 0.8510 - pr: 0.2980 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2556
Epoch 82/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1678 - binary_accuracy: 0.9441 - auc: 0.8511 - pr: 0.2979 - val_loss: 0.1791 - val_binary_accuracy: 0.9437 - val_auc: 0.8160 - val_pr: 0.2553
Epoch 83/1000
327/327 [==============================] - 74s 224ms/step - loss: 0.1677 - binary_accuracy: 0.9441 - auc: 0.8513 - pr: 0.2982 - val_loss: 0.1783 - val_binary_accuracy: 0.9437 - val_auc: 0.8171 - val_pr: 0.2541
Epoch 84/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1676 - binary_accuracy: 0.9441 - auc: 0.8516 - pr: 0.2990 - val_loss: 0.1789 - val_binary_accuracy: 0.9436 - val_auc: 0.8154 - val_pr: 0.2527
Epoch 85/1000
327/327 [==============================] - 71s 213ms/step - loss: 0.1676 - binary_accuracy: 0.9441 - auc: 0.8518 - pr: 0.2993 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2538
Epoch 86/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1676 - binary_accuracy: 0.9441 - auc: 0.8519 - pr: 0.2989 - val_loss: 0.1790 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2530
Epoch 87/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1675 - binary_accuracy: 0.9441 - auc: 0.8520 - pr: 0.2994 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8165 - val_pr: 0.2544
Epoch 88/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1674 - binary_accuracy: 0.9441 - auc: 0.8524 - pr: 0.2997 - val_loss: 0.1787 - val_binary_accuracy: 0.9436 - val_auc: 0.8164 - val_pr: 0.2544
Epoch 89/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1673 - binary_accuracy: 0.9441 - auc: 0.8526 - pr: 0.3001 - val_loss: 0.1778 - val_binary_accuracy: 0.9437 - val_auc: 0.8177 - val_pr: 0.2572
Epoch 90/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1673 - binary_accuracy: 0.9441 - auc: 0.8527 - pr: 0.3002 - val_loss: 0.1781 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2548
Epoch 91/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1672 - binary_accuracy: 0.9441 - auc: 0.8530 - pr: 0.3005 - val_loss: 0.1778 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2558
Epoch 92/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1672 - binary_accuracy: 0.9441 - auc: 0.8529 - pr: 0.3000 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8159 - val_pr: 0.2544
Epoch 93/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1672 - binary_accuracy: 0.9441 - auc: 0.8529 - pr: 0.3001 - val_loss: 0.1782 - val_binary_accuracy: 0.9436 - val_auc: 0.8172 - val_pr: 0.2561
Epoch 94/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1671 - binary_accuracy: 0.9441 - auc: 0.8532 - pr: 0.3006 - val_loss: 0.1794 - val_binary_accuracy: 0.9437 - val_auc: 0.8154 - val_pr: 0.2527
Epoch 95/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1671 - binary_accuracy: 0.9441 - auc: 0.8533 - pr: 0.3007 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2557
Epoch 96/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1670 - binary_accuracy: 0.9441 - auc: 0.8534 - pr: 0.3007 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8175 - val_pr: 0.2563
Epoch 97/1000
327/327 [==============================] - 74s 224ms/step - loss: 0.1670 - binary_accuracy: 0.9441 - auc: 0.8536 - pr: 0.3012 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2557
Epoch 98/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1669 - binary_accuracy: 0.9441 - auc: 0.8537 - pr: 0.3013 - val_loss: 0.1777 - val_binary_accuracy: 0.9437 - val_auc: 0.8178 - val_pr: 0.2557
Epoch 99/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1669 - binary_accuracy: 0.9441 - auc: 0.8537 - pr: 0.3013 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8168 - val_pr: 0.2553
Epoch 100/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1669 - binary_accuracy: 0.9441 - auc: 0.8537 - pr: 0.3010 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8162 - val_pr: 0.2538
Epoch 101/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1669 - binary_accuracy: 0.9441 - auc: 0.8539 - pr: 0.3011 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8159 - val_pr: 0.2544
Epoch 102/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1668 - binary_accuracy: 0.9441 - auc: 0.8541 - pr: 0.3014 - val_loss: 0.1794 - val_binary_accuracy: 0.9437 - val_auc: 0.8156 - val_pr: 0.2514
Epoch 103/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1668 - binary_accuracy: 0.9441 - auc: 0.8542 - pr: 0.3018 - val_loss: 0.1788 - val_binary_accuracy: 0.9437 - val_auc: 0.8172 - val_pr: 0.2551
Epoch 104/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1668 - binary_accuracy: 0.9441 - auc: 0.8541 - pr: 0.3014 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8178 - val_pr: 0.2570
Epoch 105/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1667 - binary_accuracy: 0.9441 - auc: 0.8545 - pr: 0.3021 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8180 - val_pr: 0.2572
Epoch 106/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1667 - binary_accuracy: 0.9441 - auc: 0.8544 - pr: 0.3016 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8173 - val_pr: 0.2549
Epoch 107/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1666 - binary_accuracy: 0.9441 - auc: 0.8547 - pr: 0.3021 - val_loss: 0.1793 - val_binary_accuracy: 0.9437 - val_auc: 0.8141 - val_pr: 0.2516
Epoch 108/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1666 - binary_accuracy: 0.9441 - auc: 0.8546 - pr: 0.3023 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 109/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1666 - binary_accuracy: 0.9441 - auc: 0.8547 - pr: 0.3024 - val_loss: 0.1781 - val_binary_accuracy: 0.9436 - val_auc: 0.8182 - val_pr: 0.2578
Epoch 110/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1666 - binary_accuracy: 0.9442 - auc: 0.8548 - pr: 0.3025 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8173 - val_pr: 0.2558
Epoch 111/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1665 - binary_accuracy: 0.9441 - auc: 0.8550 - pr: 0.3025 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2536
Epoch 112/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1666 - binary_accuracy: 0.9442 - auc: 0.8548 - pr: 0.3027 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2575
Epoch 113/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1665 - binary_accuracy: 0.9441 - auc: 0.8550 - pr: 0.3027 - val_loss: 0.1781 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2568
Epoch 114/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1665 - binary_accuracy: 0.9441 - auc: 0.8551 - pr: 0.3023 - val_loss: 0.1783 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2556
Epoch 115/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1664 - binary_accuracy: 0.9442 - auc: 0.8552 - pr: 0.3030 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2561
Epoch 116/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1664 - binary_accuracy: 0.9442 - auc: 0.8553 - pr: 0.3031 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2553
Epoch 117/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1664 - binary_accuracy: 0.9442 - auc: 0.8553 - pr: 0.3029 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2556
Epoch 118/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1664 - binary_accuracy: 0.9441 - auc: 0.8553 - pr: 0.3027 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2569
Epoch 119/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1663 - binary_accuracy: 0.9442 - auc: 0.8556 - pr: 0.3032 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8181 - val_pr: 0.2559
Epoch 120/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1664 - binary_accuracy: 0.9442 - auc: 0.8554 - pr: 0.3033 - val_loss: 0.1788 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2546
Epoch 121/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1663 - binary_accuracy: 0.9442 - auc: 0.8558 - pr: 0.3035 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2564
Epoch 122/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1662 - binary_accuracy: 0.9442 - auc: 0.8559 - pr: 0.3039 - val_loss: 0.1798 - val_binary_accuracy: 0.9437 - val_auc: 0.8148 - val_pr: 0.2526
Epoch 123/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1662 - binary_accuracy: 0.9442 - auc: 0.8560 - pr: 0.3038 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2562
Epoch 124/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1662 - binary_accuracy: 0.9442 - auc: 0.8560 - pr: 0.3036 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2565
Epoch 125/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1662 - binary_accuracy: 0.9442 - auc: 0.8561 - pr: 0.3038 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2549
Epoch 126/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8562 - pr: 0.3040 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8177 - val_pr: 0.2567
Epoch 127/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8562 - pr: 0.3040 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2557
Epoch 128/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8562 - pr: 0.3044 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2560
Epoch 129/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1662 - binary_accuracy: 0.9441 - auc: 0.8561 - pr: 0.3035 - val_loss: 0.1791 - val_binary_accuracy: 0.9437 - val_auc: 0.8165 - val_pr: 0.2551
Epoch 130/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8563 - pr: 0.3040 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2571
Epoch 131/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8563 - pr: 0.3039 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8179 - val_pr: 0.2573
Epoch 132/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8562 - pr: 0.3039 - val_loss: 0.1789 - val_binary_accuracy: 0.9437 - val_auc: 0.8167 - val_pr: 0.2559
Epoch 133/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8563 - pr: 0.3041 - val_loss: 0.1794 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2550
Epoch 134/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1660 - binary_accuracy: 0.9442 - auc: 0.8566 - pr: 0.3044 - val_loss: 0.1793 - val_binary_accuracy: 0.9437 - val_auc: 0.8157 - val_pr: 0.2541
Epoch 135/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1661 - binary_accuracy: 0.9442 - auc: 0.8564 - pr: 0.3039 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 136/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1660 - binary_accuracy: 0.9442 - auc: 0.8568 - pr: 0.3043 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8183 - val_pr: 0.2564
Epoch 137/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8569 - pr: 0.3049 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2564
Epoch 138/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8568 - pr: 0.3047 - val_loss: 0.1792 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2554
Epoch 139/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8568 - pr: 0.3048 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2567
Epoch 140/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8568 - pr: 0.3047 - val_loss: 0.1792 - val_binary_accuracy: 0.9437 - val_auc: 0.8153 - val_pr: 0.2544
Epoch 141/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1658 - binary_accuracy: 0.9442 - auc: 0.8571 - pr: 0.3049 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2574
Epoch 142/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8569 - pr: 0.3046 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2576
Epoch 143/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8570 - pr: 0.3049 - val_loss: 0.1781 - val_binary_accuracy: 0.9437 - val_auc: 0.8179 - val_pr: 0.2573
Epoch 144/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8570 - pr: 0.3049 - val_loss: 0.1789 - val_binary_accuracy: 0.9437 - val_auc: 0.8164 - val_pr: 0.2547
Epoch 145/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8570 - pr: 0.3045 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8184 - val_pr: 0.2579
Epoch 146/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1658 - binary_accuracy: 0.9442 - auc: 0.8572 - pr: 0.3053 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2555
Epoch 147/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1658 - binary_accuracy: 0.9442 - auc: 0.8573 - pr: 0.3052 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8171 - val_pr: 0.2560
Epoch 148/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1659 - binary_accuracy: 0.9442 - auc: 0.8570 - pr: 0.3046 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8168 - val_pr: 0.2557
Epoch 149/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1658 - binary_accuracy: 0.9442 - auc: 0.8573 - pr: 0.3052 - val_loss: 0.1783 - val_binary_accuracy: 0.9437 - val_auc: 0.8178 - val_pr: 0.2569
Epoch 150/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8574 - pr: 0.3055 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8184 - val_pr: 0.2579
Epoch 151/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8574 - pr: 0.3053 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8173 - val_pr: 0.2555
Epoch 152/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8575 - pr: 0.3053 - val_loss: 0.1781 - val_binary_accuracy: 0.9437 - val_auc: 0.8182 - val_pr: 0.2574
Epoch 153/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8576 - pr: 0.3053 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2569
Epoch 154/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8577 - pr: 0.3057 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2566
Epoch 155/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8577 - pr: 0.3056 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8179 - val_pr: 0.2575
Epoch 156/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8576 - pr: 0.3051 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2567
Epoch 157/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8575 - pr: 0.3054 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8167 - val_pr: 0.2546
Epoch 158/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1657 - binary_accuracy: 0.9442 - auc: 0.8576 - pr: 0.3054 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8185 - val_pr: 0.2574
Epoch 159/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8578 - pr: 0.3058 - val_loss: 0.1788 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2552
Epoch 160/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8578 - pr: 0.3058 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2571
Epoch 161/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8577 - pr: 0.3055 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2570
Epoch 162/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8579 - pr: 0.3058 - val_loss: 0.1781 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2561
Epoch 163/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8581 - pr: 0.3060 - val_loss: 0.1779 - val_binary_accuracy: 0.9437 - val_auc: 0.8183 - val_pr: 0.2576
Epoch 164/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8579 - pr: 0.3059 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2557
Epoch 165/1000
327/327 [==============================] - 72s 208ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8580 - pr: 0.3059 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2561
Epoch 166/1000
327/327 [==============================] - 70s 205ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8580 - pr: 0.3058 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2559
Epoch 167/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8578 - pr: 0.3059 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2567
Epoch 168/1000
327/327 [==============================] - 170s 514ms/step - loss: 0.1656 - binary_accuracy: 0.9442 - auc: 0.8580 - pr: 0.3057 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2553
Epoch 169/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8581 - pr: 0.3061 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2577
Epoch 170/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8580 - pr: 0.3059 - val_loss: 0.1793 - val_binary_accuracy: 0.9437 - val_auc: 0.8158 - val_pr: 0.2537
Epoch 171/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8581 - pr: 0.3062 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2569
Epoch 172/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8583 - pr: 0.3061 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8186 - val_pr: 0.2585
Epoch 173/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8581 - pr: 0.3060 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8174 - val_pr: 0.2561
Epoch 174/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8582 - pr: 0.3061 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2569
Epoch 175/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8584 - pr: 0.3065 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8177 - val_pr: 0.2564
Epoch 176/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8582 - pr: 0.3061 - val_loss: 0.1798 - val_binary_accuracy: 0.9437 - val_auc: 0.8151 - val_pr: 0.2538
Epoch 177/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8582 - pr: 0.3059 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8169 - val_pr: 0.2552
Epoch 178/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1655 - binary_accuracy: 0.9442 - auc: 0.8582 - pr: 0.3060 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2581
Epoch 179/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8583 - pr: 0.3063 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2571
Epoch 180/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8584 - pr: 0.3062 - val_loss: 0.1777 - val_binary_accuracy: 0.9437 - val_auc: 0.8187 - val_pr: 0.2583
Epoch 181/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8585 - pr: 0.3065 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2581
Epoch 182/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8585 - pr: 0.3067 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2559
Epoch 183/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8586 - pr: 0.3064 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2568
Epoch 184/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8585 - pr: 0.3063 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2570
Epoch 185/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8586 - pr: 0.3069 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2575
Epoch 186/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8586 - pr: 0.3065 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8178 - val_pr: 0.2575
Epoch 187/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8585 - pr: 0.3064 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2565
Epoch 188/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3064 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2570
Epoch 189/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1654 - binary_accuracy: 0.9442 - auc: 0.8585 - pr: 0.3065 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2572
Epoch 190/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8586 - pr: 0.3068 - val_loss: 0.1782 - val_binary_accuracy: 0.9437 - val_auc: 0.8178 - val_pr: 0.2572
Epoch 191/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3069 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2569
Epoch 192/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3067 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2571
Epoch 193/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3067 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2559
Epoch 194/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3067 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8185 - val_pr: 0.2585
Epoch 195/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3067 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2573
Epoch 196/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3071 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2574
Epoch 197/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3069 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2574
Epoch 198/1000
327/327 [==============================] - 73s 221ms/step - loss: 0.1653 - binary_accuracy: 0.9442 - auc: 0.8587 - pr: 0.3067 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2579
Epoch 199/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3068 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2590
Epoch 200/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3073 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2570
Epoch 201/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3071 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2567
Epoch 202/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3071 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2587
Epoch 203/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3068 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2574
Epoch 204/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3071 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2576
Epoch 205/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3069 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2578
Epoch 206/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3071 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 207/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3071 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2571
Epoch 208/1000
327/327 [==============================] - 63s 182ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3071 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2563
Epoch 209/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8589 - pr: 0.3070 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 210/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3073 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2576
Epoch 211/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3069 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2577
Epoch 212/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8590 - pr: 0.3071 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2566
Epoch 213/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8592 - pr: 0.3073 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8176 - val_pr: 0.2577
Epoch 214/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3075 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2567
Epoch 215/1000
327/327 [==============================] - 75s 227ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3070 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2559
Epoch 216/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3073 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2578
Epoch 217/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1652 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3071 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2579
Epoch 218/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8592 - pr: 0.3073 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2575
Epoch 219/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8592 - pr: 0.3074 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2584
Epoch 220/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3076 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2572
Epoch 221/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3076 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8184 - val_pr: 0.2586
Epoch 222/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3076 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2566
Epoch 223/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3077 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2573
Epoch 224/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8591 - pr: 0.3071 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2582
Epoch 225/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3078 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8181 - val_pr: 0.2580
Epoch 226/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3078 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2577
Epoch 227/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3078 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8185 - val_pr: 0.2584
Epoch 228/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8592 - pr: 0.3076 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2580
Epoch 229/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3072 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2570
Epoch 230/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3077 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2568
Epoch 231/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3077 - val_loss: 0.1775 - val_binary_accuracy: 0.9438 - val_auc: 0.8185 - val_pr: 0.2587
Epoch 232/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3076 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2580
Epoch 233/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3077 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8184 - val_pr: 0.2587
Epoch 234/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8593 - pr: 0.3075 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2583
Epoch 235/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3076 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2583
Epoch 236/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3078 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2570
Epoch 237/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3079 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2574
Epoch 238/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3076 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 239/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3080 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2585
Epoch 240/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1651 - binary_accuracy: 0.9442 - auc: 0.8594 - pr: 0.3077 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2567
Epoch 241/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3077 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2587
Epoch 242/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3076 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2581
Epoch 243/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3078 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2581
Epoch 244/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3075 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2574
Epoch 245/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3078 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2583
Epoch 246/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8596 - pr: 0.3081 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2577
Epoch 247/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8596 - pr: 0.3080 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 248/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8596 - pr: 0.3079 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2582
Epoch 249/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8595 - pr: 0.3078 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2579
Epoch 250/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8596 - pr: 0.3079 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2591
Epoch 251/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3079 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2587
Epoch 252/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3081 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2582
Epoch 253/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8596 - pr: 0.3079 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2583
Epoch 254/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3078 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2573
Epoch 255/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1650 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3079 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2564
Epoch 256/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3080 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 257/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3083 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 258/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3082 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2579
Epoch 259/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3083 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2574
Epoch 260/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3080 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2582
Epoch 261/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3082 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2575
Epoch 262/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3081 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2574
Epoch 263/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3084 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2577
Epoch 264/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3083 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2569
Epoch 265/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3082 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2587
Epoch 266/1000
327/327 [==============================] - 77s 231ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3082 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2588
Epoch 267/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3081 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2574
Epoch 268/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3082 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2576
Epoch 269/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3083 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 270/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8597 - pr: 0.3080 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2576
Epoch 271/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3082 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 272/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3082 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2584
Epoch 273/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3082 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2585
Epoch 274/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3082 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2575
Epoch 275/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3080 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2577
Epoch 276/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8598 - pr: 0.3082 - val_loss: 0.1780 - val_binary_accuracy: 0.9437 - val_auc: 0.8182 - val_pr: 0.2586
Epoch 277/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3083 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2575
Epoch 278/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3083 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2580
Epoch 279/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3084 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2588
Epoch 280/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3083 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2579
Epoch 281/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3085 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2575
Epoch 282/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3082 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2577
Epoch 283/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3080 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2590
Epoch 284/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3085 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2584
Epoch 285/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3086 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2583
Epoch 286/1000
327/327 [==============================] - 65s 192ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3082 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2575
Epoch 287/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3083 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2578
Epoch 288/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3084 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2577
Epoch 289/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3084 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 290/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3084 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2576
Epoch 291/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3085 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 292/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3088 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2572
Epoch 293/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3085 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 294/1000
327/327 [==============================] - 77s 231ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3082 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2587
Epoch 295/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3085 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2586
Epoch 296/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3084 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2574
Epoch 297/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3083 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2575
Epoch 298/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3086 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2590
Epoch 299/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3086 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2592
Epoch 300/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3088 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2579
Epoch 301/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3084 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2581
Epoch 302/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3085 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 303/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3084 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2584
Epoch 304/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3085 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2586
Epoch 305/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1649 - binary_accuracy: 0.9442 - auc: 0.8599 - pr: 0.3084 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2590
Epoch 306/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3086 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 307/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3086 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2584
Epoch 308/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3086 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2573
Epoch 309/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3086 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 310/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3088 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 311/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2587
Epoch 312/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2579
Epoch 313/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3089 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2583
Epoch 314/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3084 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8175 - val_pr: 0.2573
Epoch 315/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3087 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2579
Epoch 316/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3089 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2576
Epoch 317/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3090 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2588
Epoch 318/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8601 - pr: 0.3086 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2582
Epoch 319/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8600 - pr: 0.3087 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 320/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3087 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2584
Epoch 321/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 322/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3085 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2587
Epoch 323/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2585
Epoch 324/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3087 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 325/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3089 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2584
Epoch 326/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2587
Epoch 327/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3089 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2586
Epoch 328/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3089 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2585
Epoch 329/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2587
Epoch 330/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3089 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2581
Epoch 331/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3088 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2586
Epoch 332/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3087 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2572
Epoch 333/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3088 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2584
Epoch 334/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1648 - binary_accuracy: 0.9442 - auc: 0.8602 - pr: 0.3086 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2584
Epoch 335/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3087 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2591
Epoch 336/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3090 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2592
Epoch 337/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3090 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2583
Epoch 338/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3087 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2582
Epoch 339/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3091 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2580
Epoch 340/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3091 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 341/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3087 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2576
Epoch 342/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3088 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2581
Epoch 343/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3089 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2582
Epoch 344/1000
327/327 [==============================] - 73s 221ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3091 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 345/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3088 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2583
Epoch 346/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2589
Epoch 347/1000
327/327 [==============================] - 76s 230ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3090 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2589
Epoch 348/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3085 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 349/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3089 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2571
Epoch 350/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8603 - pr: 0.3088 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 351/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3092 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 352/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3092 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2586
Epoch 353/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3089 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2583
Epoch 354/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1791 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 355/1000
327/327 [==============================] - 72s 211ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3089 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2582
Epoch 356/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2578
Epoch 357/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3089 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2577
Epoch 358/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2569
Epoch 359/1000
327/327 [==============================] - 73s 221ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2581
Epoch 360/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2581
Epoch 361/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2572
Epoch 362/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2584
Epoch 363/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8604 - pr: 0.3090 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 364/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3093 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2586
Epoch 365/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2582
Epoch 366/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2579
Epoch 367/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2577
Epoch 368/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3092 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2575
Epoch 369/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2578
Epoch 370/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3093 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2575
Epoch 371/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3091 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2581
Epoch 372/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3092 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2579
Epoch 373/1000
327/327 [==============================] - 77s 232ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3093 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2575
Epoch 374/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2571
Epoch 375/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3093 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2575
Epoch 376/1000
327/327 [==============================] - 71s 211ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 377/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2581
Epoch 378/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2575
Epoch 379/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3091 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2588
Epoch 380/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3092 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2579
Epoch 381/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3089 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 382/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3091 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2587
Epoch 383/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 384/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 385/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2579
Epoch 386/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1647 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3091 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2578
Epoch 387/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3093 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2576
Epoch 388/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2578
Epoch 389/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3092 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2585
Epoch 390/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3091 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8181 - val_pr: 0.2587
Epoch 391/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8605 - pr: 0.3090 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2570
Epoch 392/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2559
Epoch 393/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 394/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2575
Epoch 395/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2583
Epoch 396/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2586
Epoch 397/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 398/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3093 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2576
Epoch 399/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 400/1000
327/327 [==============================] - 73s 212ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2581
Epoch 401/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2577
Epoch 402/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3092 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2584
Epoch 403/1000
327/327 [==============================] - 72s 211ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3092 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2582
Epoch 404/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 405/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3095 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 406/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3090 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 407/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2585
Epoch 408/1000
327/327 [==============================] - 71s 214ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3093 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2569
Epoch 409/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3091 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2580
Epoch 410/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 411/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2581
Epoch 412/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 413/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 414/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 415/1000
327/327 [==============================] - 71s 213ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 416/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8606 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2573
Epoch 417/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 418/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2570
Epoch 419/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 420/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2574
Epoch 421/1000
327/327 [==============================] - 73s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3094 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 422/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3097 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2582
Epoch 423/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3093 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 424/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3093 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2581
Epoch 425/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2581
Epoch 426/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2583
Epoch 427/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2577
Epoch 428/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2575
Epoch 429/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3093 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2575
Epoch 430/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2580
Epoch 431/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3097 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2584
Epoch 432/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2579
Epoch 433/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 434/1000
327/327 [==============================] - 74s 213ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3094 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 435/1000
327/327 [==============================] - 71s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2583
Epoch 436/1000
327/327 [==============================] - 70s 209ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 437/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3093 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2581
Epoch 438/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2587
Epoch 439/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3094 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2586
Epoch 440/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3097 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2585
Epoch 441/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 442/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2587
Epoch 443/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2587
Epoch 444/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2577
Epoch 445/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1776 - val_binary_accuracy: 0.9438 - val_auc: 0.8183 - val_pr: 0.2592
Epoch 446/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2585
Epoch 447/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3094 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2577
Epoch 448/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 449/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 450/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2582
Epoch 451/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2576
Epoch 452/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2586
Epoch 453/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 454/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3097 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2583
Epoch 455/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2584
Epoch 456/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2581
Epoch 457/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2583
Epoch 458/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 459/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2579
Epoch 460/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3093 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2583
Epoch 461/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3097 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2585
Epoch 462/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2585
Epoch 463/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 464/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 465/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 466/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2591
Epoch 467/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2585
Epoch 468/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2579
Epoch 469/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1646 - binary_accuracy: 0.9442 - auc: 0.8607 - pr: 0.3095 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 470/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2583
Epoch 471/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2585
Epoch 472/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2578
Epoch 473/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2580
Epoch 474/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3097 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2577
Epoch 475/1000
327/327 [==============================] - 75s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 476/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2574
Epoch 477/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 478/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 479/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 480/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3097 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2578
Epoch 481/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2580
Epoch 482/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3096 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 483/1000
327/327 [==============================] - 75s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2584
Epoch 484/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2584
Epoch 485/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 486/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 487/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 488/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 489/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9443 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2588
Epoch 490/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8182 - val_pr: 0.2588
Epoch 491/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2582
Epoch 492/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3095 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2582
Epoch 493/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 494/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 495/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 496/1000
327/327 [==============================] - 72s 211ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2582
Epoch 497/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 498/1000
327/327 [==============================] - 70s 210ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8608 - pr: 0.3095 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2583
Epoch 499/1000
327/327 [==============================] - 72s 210ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2586
Epoch 500/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 501/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3096 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2575
Epoch 502/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2578
Epoch 503/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2579
Epoch 504/1000
327/327 [==============================] - 72s 209ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3099 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 505/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3097 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 506/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2576
Epoch 507/1000
327/327 [==============================] - 73s 211ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2579
Epoch 508/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3097 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2581
Epoch 509/1000
327/327 [==============================] - 72s 209ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 510/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1777 - val_binary_accuracy: 0.9438 - val_auc: 0.8180 - val_pr: 0.2587
Epoch 511/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 512/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 513/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2577
Epoch 514/1000
327/327 [==============================] - 71s 208ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3097 - val_loss: 0.1778 - val_binary_accuracy: 0.9438 - val_auc: 0.8179 - val_pr: 0.2582
Epoch 515/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2584
Epoch 516/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 517/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 518/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2582
Epoch 519/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 520/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 521/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2580
Epoch 522/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2576
Epoch 523/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 524/1000
327/327 [==============================] - 71s 210ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 525/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2578
Epoch 526/1000
327/327 [==============================] - 74s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2573
Epoch 527/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3101 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2578
Epoch 528/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2580
Epoch 529/1000
327/327 [==============================] - 69s 207ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3100 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2580
Epoch 530/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2575
Epoch 531/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 532/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2573
Epoch 533/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3100 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2571
Epoch 534/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8178 - val_pr: 0.2582
Epoch 535/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8609 - pr: 0.3098 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2571
Epoch 536/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2578
Epoch 537/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 538/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3097 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 539/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 540/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 541/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3098 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2578
Epoch 542/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 543/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3097 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2568
Epoch 544/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3098 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2577
Epoch 545/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 546/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2574
Epoch 547/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2579
Epoch 548/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 549/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 550/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 551/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3098 - val_loss: 0.1779 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2580
Epoch 552/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 553/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1645 - binary_accuracy: 0.9442 - auc: 0.8610 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 554/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3102 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 555/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2572
Epoch 556/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8177 - val_pr: 0.2578
Epoch 557/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2569
Epoch 558/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2574
Epoch 559/1000
327/327 [==============================] - 73s 212ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 560/1000
327/327 [==============================] - 71s 212ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2569
Epoch 561/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2574
Epoch 562/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 563/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 564/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2569
Epoch 565/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2576
Epoch 566/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2569
Epoch 567/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 568/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2571
Epoch 569/1000
327/327 [==============================] - 72s 211ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2577
Epoch 570/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2572
Epoch 571/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2574
Epoch 572/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3099 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 573/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 574/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 575/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2577
Epoch 576/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2574
Epoch 577/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3100 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 578/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2576
Epoch 579/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 580/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3102 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2574
Epoch 581/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2575
Epoch 582/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 583/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 584/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 585/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2569
Epoch 586/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2568
Epoch 587/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2579
Epoch 588/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2575
Epoch 589/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2575
Epoch 590/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2579
Epoch 591/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3100 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 592/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3100 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2571
Epoch 593/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 594/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2567
Epoch 595/1000
327/327 [==============================] - 75s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 596/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8612 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 597/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 598/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 599/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2567
Epoch 600/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 601/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3101 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2570
Epoch 602/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 603/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 604/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3104 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 605/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2575
Epoch 606/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 607/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3104 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2571
Epoch 608/1000
327/327 [==============================] - 75s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8611 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2583
Epoch 609/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 610/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3100 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 611/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2572
Epoch 612/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2572
Epoch 613/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 614/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3104 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 615/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 616/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 617/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3101 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2571
Epoch 618/1000
327/327 [==============================] - 71s 208ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 619/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2579
Epoch 620/1000
327/327 [==============================] - 73s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 621/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 622/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3102 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2576
Epoch 623/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8176 - val_pr: 0.2580
Epoch 624/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 625/1000
327/327 [==============================] - 72s 210ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2580
Epoch 626/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2578
Epoch 627/1000
327/327 [==============================] - 75s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2572
Epoch 628/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2575
Epoch 629/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1780 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2581
Epoch 630/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3101 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2571
Epoch 631/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2578
Epoch 632/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3101 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 633/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2573
Epoch 634/1000
327/327 [==============================] - 70s 210ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2569
Epoch 635/1000
327/327 [==============================] - 71s 208ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2573
Epoch 636/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3101 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 637/1000
327/327 [==============================] - 73s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2576
Epoch 638/1000
327/327 [==============================] - 74s 215ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2576
Epoch 639/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2579
Epoch 640/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2575
Epoch 641/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8612 - pr: 0.3103 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 642/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 643/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 644/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2577
Epoch 645/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8175 - val_pr: 0.2582
Epoch 646/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2577
Epoch 647/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2578
Epoch 648/1000
327/327 [==============================] - 72s 210ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2577
Epoch 649/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 650/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 651/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2578
Epoch 652/1000
327/327 [==============================] - 71s 215ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2578
Epoch 653/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2574
Epoch 654/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2577
Epoch 655/1000
327/327 [==============================] - 71s 209ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 656/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1644 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2574
Epoch 657/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2575
Epoch 658/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2578
Epoch 659/1000
327/327 [==============================] - 72s 214ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3102 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2578
Epoch 660/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2575
Epoch 661/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1644 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2579
Epoch 662/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8174 - val_pr: 0.2577
Epoch 663/1000
327/327 [==============================] - 78s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2574
Epoch 664/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2577
Epoch 665/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 666/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2573
Epoch 667/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2571
Epoch 668/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 669/1000
327/327 [==============================] - 71s 210ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 670/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 671/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 672/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 673/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2579
Epoch 674/1000
327/327 [==============================] - 76s 219ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3103 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 675/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 676/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 677/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 678/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2569
Epoch 679/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 680/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2570
Epoch 681/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2575
Epoch 682/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 683/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2576
Epoch 684/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2574
Epoch 685/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2578
Epoch 686/1000
327/327 [==============================] - 80s 241ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2570
Epoch 687/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2573
Epoch 688/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2577
Epoch 689/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2573
Epoch 690/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2581
Epoch 691/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3103 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 692/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2574
Epoch 693/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2574
Epoch 694/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 695/1000
327/327 [==============================] - 77s 231ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2578
Epoch 696/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2573
Epoch 697/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2575
Epoch 698/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 699/1000
327/327 [==============================] - 78s 233ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2574
Epoch 700/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 701/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2569
Epoch 702/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8613 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2575
Epoch 703/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2575
Epoch 704/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2576
Epoch 705/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2579
Epoch 706/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2572
Epoch 707/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2577
Epoch 708/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 709/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2575
Epoch 710/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2573
Epoch 711/1000
327/327 [==============================] - 75s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3104 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 712/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2575
Epoch 713/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2571
Epoch 714/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 715/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 716/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3104 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2575
Epoch 717/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2571
Epoch 718/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8171 - val_pr: 0.2574
Epoch 719/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 720/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2576
Epoch 721/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3105 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 722/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3105 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2570
Epoch 723/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8173 - val_pr: 0.2578
Epoch 724/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2573
Epoch 725/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 726/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 727/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2573
Epoch 728/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2568
Epoch 729/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1782 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2577
Epoch 730/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2573
Epoch 731/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 732/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2573
Epoch 733/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2574
Epoch 734/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2575
Epoch 735/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 736/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2574
Epoch 737/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2576
Epoch 738/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2573
Epoch 739/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 740/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2576
Epoch 741/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2577
Epoch 742/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8614 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2570
Epoch 743/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 744/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 745/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8170 - val_pr: 0.2573
Epoch 746/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 747/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 748/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2566
Epoch 749/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 750/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8614 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2572
Epoch 751/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 752/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 753/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 754/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2573
Epoch 755/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 756/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 757/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 758/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2570
Epoch 759/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2571
Epoch 760/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2572
Epoch 761/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 762/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 763/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 764/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 765/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1781 - val_binary_accuracy: 0.9438 - val_auc: 0.8172 - val_pr: 0.2579
Epoch 766/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 767/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 768/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 769/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 770/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 771/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2573
Epoch 772/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 773/1000
327/327 [==============================] - 74s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2569
Epoch 774/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 775/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 776/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 777/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2573
Epoch 778/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3110 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2572
Epoch 779/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2567
Epoch 780/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2570
Epoch 781/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 782/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 783/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3105 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 784/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 785/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3107 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2571
Epoch 786/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2570
Epoch 787/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 788/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 789/1000
327/327 [==============================] - 77s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 790/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 791/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 792/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 793/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 794/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 795/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 796/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 797/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 798/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 799/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 800/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 801/1000
327/327 [==============================] - 73s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 802/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 803/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2571
Epoch 804/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8615 - pr: 0.3106 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 805/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 806/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 807/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2569
Epoch 808/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 809/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8168 - val_pr: 0.2569
Epoch 810/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2563
Epoch 811/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2569
Epoch 812/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2570
Epoch 813/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 814/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 815/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 816/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 817/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8615 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 818/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 819/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 820/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2564
Epoch 821/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 822/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2571
Epoch 823/1000
327/327 [==============================] - 79s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2562
Epoch 824/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2566
Epoch 825/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 826/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2572
Epoch 827/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2563
Epoch 828/1000
327/327 [==============================] - 77s 231ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8169 - val_pr: 0.2571
Epoch 829/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 830/1000
327/327 [==============================] - 79s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2570
Epoch 831/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 832/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 833/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 834/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1783 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 835/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 836/1000
327/327 [==============================] - 77s 232ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2569
Epoch 837/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 838/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2563
Epoch 839/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 840/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 841/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3107 - val_loss: 0.1786 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2568
Epoch 842/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 843/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 844/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 845/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3107 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 846/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2567
Epoch 847/1000
327/327 [==============================] - 78s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 848/1000
327/327 [==============================] - 76s 228ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2570
Epoch 849/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1643 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2563
Epoch 850/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2565
Epoch 851/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 852/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2569
Epoch 853/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 854/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2568
Epoch 855/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2566
Epoch 856/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2562
Epoch 857/1000
327/327 [==============================] - 65s 191ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 858/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 859/1000
327/327 [==============================] - 77s 232ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 860/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 861/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 862/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 863/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 864/1000
327/327 [==============================] - 77s 231ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2569
Epoch 865/1000
327/327 [==============================] - 78s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2572
Epoch 866/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9437 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 867/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2562
Epoch 868/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2569
Epoch 869/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 870/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1643 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3106 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2569
Epoch 871/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 872/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 873/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 874/1000
327/327 [==============================] - 79s 236ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2565
Epoch 875/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2572
Epoch 876/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2562
Epoch 877/1000
327/327 [==============================] - 60s 180ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 878/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 879/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 880/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 881/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2562
Epoch 882/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 883/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2561
Epoch 884/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2568
Epoch 885/1000
327/327 [==============================] - 78s 231ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9437 - val_auc: 0.8166 - val_pr: 0.2567
Epoch 886/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2564
Epoch 887/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 888/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2564
Epoch 889/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 890/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2563
Epoch 891/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 892/1000
327/327 [==============================] - 77s 228ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2567
Epoch 893/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2561
Epoch 894/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2570
Epoch 895/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 896/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 897/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2565
Epoch 898/1000
327/327 [==============================] - 75s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 899/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 900/1000
327/327 [==============================] - 77s 230ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9437 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 901/1000
327/327 [==============================] - 74s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2562
Epoch 902/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 903/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 904/1000
327/327 [==============================] - 76s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1792 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2564
Epoch 905/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2566
Epoch 906/1000
327/327 [==============================] - 77s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 907/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 908/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2572
Epoch 909/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 910/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 911/1000
327/327 [==============================] - 78s 228ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 912/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2572
Epoch 913/1000
327/327 [==============================] - 75s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 914/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 915/1000
327/327 [==============================] - 76s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 916/1000
327/327 [==============================] - 75s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 917/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 918/1000
327/327 [==============================] - 77s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 919/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 920/1000
327/327 [==============================] - 77s 232ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2562
Epoch 921/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 922/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2567
Epoch 923/1000
327/327 [==============================] - 72s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2571
Epoch 924/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 925/1000
327/327 [==============================] - 71s 207ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2571
Epoch 926/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8166 - val_pr: 0.2573
Epoch 927/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 928/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2563
Epoch 929/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 930/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2571
Epoch 931/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 932/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8616 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2568
Epoch 933/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3112 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 934/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 935/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2570
Epoch 936/1000
327/327 [==============================] - 75s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2564
Epoch 937/1000
327/327 [==============================] - 77s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1791 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2562
Epoch 938/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2568
Epoch 939/1000
327/327 [==============================] - 66s 198ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2568
Epoch 940/1000
327/327 [==============================] - 71s 212ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 941/1000
327/327 [==============================] - 78s 232ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3108 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 942/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 943/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2569
Epoch 944/1000
327/327 [==============================] - 81s 239ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2569
Epoch 945/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2565
Epoch 946/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3113 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2566
Epoch 947/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8616 - pr: 0.3108 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2569
Epoch 948/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 949/1000
327/327 [==============================] - 76s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3112 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2565
Epoch 950/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8165 - val_pr: 0.2572
Epoch 951/1000
327/327 [==============================] - 77s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 952/1000
327/327 [==============================] - 76s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2566
Epoch 953/1000
327/327 [==============================] - 73s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 954/1000
327/327 [==============================] - 74s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 955/1000
327/327 [==============================] - 75s 226ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2565
Epoch 956/1000
327/327 [==============================] - 74s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2567
Epoch 957/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3112 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2566
Epoch 958/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2561
Epoch 959/1000
327/327 [==============================] - 76s 227ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 960/1000
327/327 [==============================] - 72s 209ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 961/1000
327/327 [==============================] - 72s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2565
Epoch 962/1000
327/327 [==============================] - 76s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 963/1000
327/327 [==============================] - 73s 214ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2566
Epoch 964/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2564
Epoch 965/1000
327/327 [==============================] - 75s 220ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 966/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1791 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2563
Epoch 967/1000
327/327 [==============================] - 74s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 968/1000
327/327 [==============================] - 78s 229ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1784 - val_binary_accuracy: 0.9438 - val_auc: 0.8167 - val_pr: 0.2571
Epoch 969/1000
327/327 [==============================] - 77s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2566
Epoch 970/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2570
Epoch 971/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3112 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 972/1000
327/327 [==============================] - 73s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3112 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2568
Epoch 973/1000
327/327 [==============================] - 73s 217ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2564
Epoch 974/1000
327/327 [==============================] - 77s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8159 - val_pr: 0.2562
Epoch 975/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 976/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 977/1000
327/327 [==============================] - 75s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 978/1000
327/327 [==============================] - 70s 210ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2561
Epoch 979/1000
327/327 [==============================] - 72s 215ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Epoch 980/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2565
Epoch 981/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2564
Epoch 982/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1790 - val_binary_accuracy: 0.9438 - val_auc: 0.8158 - val_pr: 0.2559
Epoch 983/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 984/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2563
Epoch 985/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2565
Epoch 986/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 987/1000
327/327 [==============================] - 73s 213ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 988/1000
327/327 [==============================] - 74s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9442 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2563
Epoch 989/1000
327/327 [==============================] - 75s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1785 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2570
Epoch 990/1000
327/327 [==============================] - 75s 223ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8162 - val_pr: 0.2564
Epoch 991/1000
327/327 [==============================] - 74s 221ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2566
Epoch 992/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8160 - val_pr: 0.2563
Epoch 993/1000
327/327 [==============================] - 74s 219ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3111 - val_loss: 0.1786 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2567
Epoch 994/1000
327/327 [==============================] - 76s 222ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3112 - val_loss: 0.1789 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 995/1000
327/327 [==============================] - 76s 224ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3112 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 996/1000
327/327 [==============================] - 74s 218ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3109 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8163 - val_pr: 0.2568
Epoch 997/1000
327/327 [==============================] - 72s 216ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2566
Epoch 998/1000
327/327 [==============================] - 75s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8617 - pr: 0.3110 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2564
Epoch 999/1000
327/327 [==============================] - 72s 212ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3111 - val_loss: 0.1787 - val_binary_accuracy: 0.9438 - val_auc: 0.8164 - val_pr: 0.2567
Epoch 1000/1000
327/327 [==============================] - 76s 225ms/step - loss: 0.1642 - binary_accuracy: 0.9443 - auc: 0.8618 - pr: 0.3111 - val_loss: 0.1788 - val_binary_accuracy: 0.9438 - val_auc: 0.8161 - val_pr: 0.2563
Saved model to data/2_cross_samples/train_out/epoch_model/epoch1000_model.h5 at epoch 1000
8. Save training results...
=== Training completed! ===
Best model: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_out/E1000best_model.h5
Training history: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/2_cross_samples/train_out/history.pickle

Plotting training metrics to monitor overfitting and evaluate the final model performance. Ideally, after a certain number of epochs, the validation curves plateau (i.e., remain stable).

The metrics computed during training are saved in ./data/2_cross_samples/train_out/history.pickle. Load them with:

import pickle
with open('./data/2_cross_samples/train_out/history.pickle', 'rb') as f:
    history = pickle.load(f)

You can then use this history object to plot training/validation metrics (e.g., loss, auROC/auPRC, NS/LS) over epochs.

The function plot_train_history() will automatically detect whether NS and LS values have been computed during training. If these metrics are available in the history data, they will be automatically included in the training metric plots along with other evaluation metrics such as loss, auROC, and auPRC.

xc.pl.plot_train_history(
    history = history['history'],
    savefig = True,
    out_file = './data/2_cross_samples/train_out/train_history_plot.pdf'
    )

6. Evaluate model performance in cross-sample scenario

The following metrics will be computed on the s2d1 test set data:

• Binary classification metrics:

  • (overall, per cell, per peak) auROC

  • (overall, per cell, per peak) auPRC

• Cell state fidelity:

  • Neighbor Score (NS) (k=10, 50, 100)

  • Label Score (LS) (k=10, 50, 100)

This combination of binary classification metrics and cell state fidelity provides a comprehensive evaluation of the model’s performance on unseen data from a different sample.

#### 1- calculate cross-samples auROC & auPRC
metrics1 = xc.tl.crosssamples_aucprc(
    cell_embedding_ad='./data/2_cross_samples/test_rna_harmony.h5ad',
    input_folder='./data/2_cross_samples/test_data',
    model_path='./data/2_cross_samples/train_out/E1000best_model.h5',
    output_path='./data/2_cross_samples/eval_out',
    cellembed_raw='X_pca_harmony',
    save_pred=True,
    scatter_plot=True
    )

Predict done! prediction shape is: (56439, 4220)
Overall auROC: 0.8363, auPRC: 0.2284
Per-cell auROC: 0.7982, auPRC: 0.1614
Valid cells: 4220
Per-peak auROC: 0.7544, auPRC: 0.1154
Valid peaks: 56439

• If save_pred=True, the prediction results will be saved as:

  • /2_cross_samples/eval_out/crosssamples_pred.npy

• If scatter_plot=True, the following relationships will be visualized and saved as PDF files in /2_cross_samples/eval_out/:

  • 1. auROC per cell vs. log-transformed peak counts per cell;

  • 2. auPRC per cell vs. log-transformed peak counts per cell;

  • 3. auROC per peak vs. log-transformed cell counts per peak;

  • 4. auPRC per peak vs. log-transformed cell counts per peak.

#### 2- calculate cross-samples ns & ls
metrics2 = xc.tl.crosssamples_nsls(
    cell_embedding_ad='./data/2_cross_samples/test_rna_harmony.h5ad',
    input_folder='./data/2_cross_samples/test_data',
    model_path='./data/2_cross_samples/train_out/E1000best_model.h5',
    output_path='./data/2_cross_samples/eval_out',
    cellembed_raw='X_pca_harmony',
    celltype = 'cell_type',
    save_pred=True,
    plot_umap=True
    )

Predict done! prediction shape is: (56439, 4220)

/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/scanpy/preprocessing/_simple.py:842: UserWarning: Received a view of an AnnData. Making a copy.
  view_to_actual(adata)

neighbor score(100)=0.3999,label score(100)=0.8042
neighbor score(50)=0.3094,label score(50)=0.8397
neighbor score(10)=0.1630,label score(10)=0.8799

• If save_pred=True, the prediction results will be saved as:

  • /2_cross_samples/eval_out/crosssamples_impute.h5ad