1. Within-sample analysis

This tutorial demonstrates the procedure for training and evaluating XChrom model on a single sample. The workflow includes splitting the sample into training and test sets, preprocessing the data to generate model inputs, training the model, and performing prediction and evaluation.

Data Preprocessing

We used a publicly available 10x Genomics Multiome dataset from fresh embryonic E18 mouse brain (paired scRNA-seq and scATAC-seq) as an example. The scATAC-seq data was partitioned by cells and peaks to generate train_val set, cross-cell test set, cross-region test set, and cross-both test set for model training and evaluation. For the scRNA-seq data, we performed PCA to generate initial cell embeddings, which served as cell identity information for XChrom.
Model Training

XChrom takes two inputs: ① DNA sequence (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.
Prediction and Evaluation

To comprehensively assess the predictive performance of XChrom, we perfomed 3 test tasks:
- “cross-region” test, which evaluates the model’s ability to predict new genomic regions not seen during training;
- “cross-cell” test, which assesses the model’s generalization to new cells not included in the training set;
- “cross-both” test, which tests prediction of unseen genomic regions in unseen cells and represents the most challenging task.
For each test, we used two binary classification metrics—auROC and auPRC—as primary evaluation metrics, which were summarized at the overall, per-cell and per-peak levels. To evaluate the cell state fidelity after prediction, we adopted two metrics: NS, which quantifies cross-modality neighborhood concordance by comparing scATAC-seq and scRNA-seq data, and LS, which measures 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.

For datasets lacking prior cell annotations, we used cluster indices identified via Leiden clustering of scRNA data as proxy cell type labels for LS calculation.

1. Download data (mouse brain)

The raw data are available at https://support.10xgenomics.com/single-cell-multiome-atac-gex/datasets/2.0.0/e18_mouse_brain_fresh_5k.
Download e18_mouse_brain_fresh_5k_filtered_feature_bc_matrix.h5, save in ./data/1_within_sample/e18_mouse_brain_fresh_5k_filtered_feature_bc_matrix.h5
Download the mouse genome file from: https://hgdownload.soe.ucsc.edu/goldenPath/mm10/bigZips/mm10.fa.gz and then decompress it.

2. Read and filter data

[1]:

import xchrom as xc
import scanpy as sc

[2]:

input_file = './data/1_within_sample/e18_mouse_brain_fresh_5k_filtered_feature_bc_matrix.h5'
output_file = './data/1_within_sample/m_brain_paired.h5ad'
ad_rna, ad_atac = xc.read_10x_h5_to_h5ad(
    h5_file=input_file,
    paired=True,
    output_file=output_file
)

/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/anndata/_core/anndata.py:1840: UserWarning: Variable names are not unique. To make them unique, call `.var_names_make_unique`.
  utils.warn_names_duplicates("var")

Successfully converted data/1_within_sample/e18_mouse_brain_fresh_5k_filtered_feature_bc_matrix.h5 to data/1_within_sample/m_brain_paired.h5ad
Data shape: 4878 cells × 204478 features

/picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/xchrom/readfile.py:327: ImplicitModificationWarning: Trying to modify attribute `.var` of view, initializing view as actual.
  ad_atac.var['chr'] = chromosome_start_end['chr']

Successfully extracted ATAC data from data/1_within_sample/m_brain_paired.h5ad to data/1_within_sample/m_brain_paired_atac.h5ad
Data shape: 4878 cells × 172193 peaks
Successfully extracted RNA data from data/1_within_sample/m_brain_paired.h5ad to data/1_within_sample/m_brain_paired_rna.h5ad
Data shape: 4878 cells × 32285 genes

This process generates three H5AD files (saved to ./data/1_within_sample/):

m_brain_paired.h5ad — converted raw paired data
m_brain_paired_rna.h5ad — extracted scRNA data
m_brain_paired_atac.h5ad — extracted scATAC data

[3]:

### Filter data
ad_rna, ad_atac = xc.pp.filter_multiome_data(
    ad_rna = ad_rna,
    ad_atac = ad_atac,
    species = 'mouse'
)

RNA data after filtering: View of AnnData object with n_obs × n_vars = 4878 × 10721
    obs: 'n_genes'
    var: 'gene_ids', 'feature_types', 'genome', 'n_cells'
ATAC data after filtering: View of AnnData object with n_obs × n_vars = 4878 × 40313
    obs: 'n_genes'
    var: 'gene_ids', 'feature_types', 'genome', 'chr', 'start', 'end', 'n_cells'

Here, the scATAC data (corresponding to the aforementioned m_brain_paired_atac.h5ad) was filtered to remove peaks accessible in fewer than 5% of cells and sequences not belonging to mouse chromosomes chr1-19, X, or Y. Similarly, the scRNA data (corresponding to the aforementioned m_brain_paired_rna.h5ad) was filtered to remove genes expressed in fewer than 5% of cells.

3. Process scRNA-seq data to generate raw cell embeddings

[4]:

# ad_rna = sc.read_h5ad('./data/1_within_sample/m_brain_paired_rna.h5ad')
ad_rna = xc.tl.calc_pca(ad_rna, n_comps=32)
sc.pp.neighbors(ad_rna)
print('The dimension of raw cell embeddings: ',ad_rna.obsm["X_pca"].shape)
sc.tl.umap(ad_rna)
sc.tl.leiden(ad_rna, key_added='pc32_leiden', resolution=0.3)

/home/miaoyuanyuan/miniconda3/envs/py3.8_tf2.6.0/lib/python3.8/site-packages/scanpy/preprocessing/_normalization.py:169: UserWarning: Received a view of an AnnData. Making a copy.
  view_to_actual(adata)
/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)

The dimension of raw cell embeddings:  (4878, 32)

Here, we performed PCA on the scRNA data to generate raw cell embeddings. Each cell is represented by a 32-dimensional vector. The resulting raw cell embeddings are stored in ad_rna.obsm['X_pca'], and the Leiden clusters (calculated based on these 32 principal components) are saved in ad_rna.obs['pc32_leiden'], serving as cell types if needed.

[5]:

prefix = str(output_file).split('.h5ad')[0]
ad_rna.write(f'{prefix}_rna.h5ad')
ad_atac.write(f'{prefix}_atac.h5ad')

4. Training/test data prepare

[6]:

process_folder = './data/1_within_sample/train_data/'
input_fasta = '/picb/bigdata/project/miaoyuanyuan/mm10.fa'
# ad_atac = sc.read_h5ad('./data/1_within_sample/m_brain_paired_atac.h5ad')
dict = xc.pp.process_train_test_single(
    ad_atac=ad_atac, ## can be a str, Path, or anndata.AnnData object
    input_fasta=input_fasta,
    output_path=process_folder
)

/picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/xchrom/pp/generate_input_data.py:92: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.
  ad.obs['b_zscore'] = b

train/test data is saved in:  data/1_within_sample/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...

We preprocessed the filtered scATAC data by partitioning it into training and test sets using a 90% ratio for both cells and peaks. This process generated the following files:

ad_trainval.h5ad: composed of training cells and training peaks
ad_crosspeak.h5ad: composed of training cells and testing peaks
ad_crosscell.h5ad: composed of testing cells and training peaks
ad_test.h5ad: composed of testing cells and testing peaks

Corresponding count matrices were also generated:

m_trainval.npz
m_crosspeak.npz
m_crosscell.npz
m_test.npz

Additionally, base sequence files were created for the training and testing peaks:

trainval_seqs.h5 (for training peaks)
test_seqs.h5 (for testing peaks)

All files are saved in ./data/1_within_sample/

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

5. Train XChrom

We use the preprocessed data obtained above as sequence inputs for the model. The input_folder should contain all the files generated during preprocessing. The 'X_pca' embeddings derived from PCA dimensionality reduction applied to the scRNA data are used as raw cell embeddings and serve as cell identity inputs to the model.

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).

[7]:

history = xc.tr.train_XChrom(
    input_folder='./data/1_within_sample/train_data/',
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    cellembed_raw='X_pca',
    out_path='./data/1_within_sample/train_out/',
    trackscore = True,
    celltype = 'pc32_leiden',
    epochs = 1000,
    save_freq = 1000,
    verbose = 1
)

=== Start training XChrom model ===
Input folder: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/train_data
Cell embedding file: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/m_brain_paired_rna.h5ad
Raw cell embedding key: X_pca
Output path: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/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/1_within_sample/m_brain_paired_rna.h5ad.obsm['X_pca']
Initial cell embedding saved to: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/m_brain_paired_rna.h5ad.obsm['zscore32_perpc']
Initial cell embedding shape: (4878, 32)
2. Load training data...
3. Prepare train/val data split...
Training peak number: 32653, Validation peak number: 3629
4. Create TensorFlow dataset...

2025-08-17 13:11:09.740605: 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 13:11:14.774049: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 20361 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:31:00.0, compute capability: 8.6
2025-08-17 13:11:14.775854: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 22350 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:4b:00.0, compute capability: 8.6
2025-08-17 13:11:14.776281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 22350 MB memory:  -> device: 2, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:98:00.0, compute capability: 8.6
2025-08-17 13:11:14.776697: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 22350 MB memory:  -> device: 3, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:b1:00.0, 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, 4391, 32)]   0
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 1, 32)        128         dense[0][0]
__________________________________________________________________________________________________
lambda (Lambda)                 (None, 4391, 32)     0           cell_embed[0][0]
__________________________________________________________________________________________________
dropout (Dropout)               (None, 1, 32)        0           batch_normalization_8[0][0]
__________________________________________________________________________________________________
layer_normalization (LayerNorma (None, 4391, 32)     64          lambda[0][0]
__________________________________________________________________________________________________
gelu_9 (GELU)                   (None, 1, 32)        0           dropout[0][0]
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 4391, 64)     2112        layer_normalization[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze (TFOpLambd (None, 32)           0           gelu_9[0][0]
__________________________________________________________________________________________________
sequencing_depth (InputLayer)   [(None, 4391)]       0
__________________________________________________________________________________________________
final_cellembed (Dense)         (None, 4391, 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, 4391, 1)      0           sequencing_depth[0][0]
__________________________________________________________________________________________________
tf.linalg.matmul (TFOpLambda)   (None, 4391, 1)      0           final_cellembed[0][0]
                                                                 tf.expand_dims[0][0]
__________________________________________________________________________________________________
dense_2 (Dense)                 (None, 4391, 1)      2           tf.expand_dims_1[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze_2 (TFOpLam (None, 4391)         0           tf.linalg.matmul[0][0]
__________________________________________________________________________________________________
tf.compat.v1.squeeze_1 (TFOpLam (None, 4391)         0           dense_2[0][0]
__________________________________________________________________________________________________
tf.__operators__.add (TFOpLambd (None, 4391)         0           tf.compat.v1.squeeze_2[0][0]
                                                                 tf.compat.v1.squeeze_1[0][0]
__________________________________________________________________________________________________
tf.math.sigmoid (TFOpLambda)    (None, 4391)         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/1_within_sample/train_out/E1000best_model.h5
Epoch 1/1000

2025-08-17 13:11:18.711820: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
2025-08-17 13:11:26.270177: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8800
2025-08-17 13:11:27.146315: 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.

256/256 [==============================] - 65s 169ms/step - loss: 0.3817 - binary_accuracy: 0.8492 - auc: 0.7332 - pr: 0.3105 - val_loss: 0.3553 - val_binary_accuracy: 0.8571 - val_auc: 0.7699 - val_pr: 0.3846
Epoch 2/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3564 - binary_accuracy: 0.8566 - auc: 0.7667 - pr: 0.3777 - val_loss: 0.3522 - val_binary_accuracy: 0.8580 - val_auc: 0.7750 - val_pr: 0.3963
Epoch 3/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3530 - binary_accuracy: 0.8581 - auc: 0.7724 - pr: 0.3923 - val_loss: 0.3517 - val_binary_accuracy: 0.8584 - val_auc: 0.7771 - val_pr: 0.3986
Epoch 4/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3516 - binary_accuracy: 0.8587 - auc: 0.7747 - pr: 0.3982 - val_loss: 0.3565 - val_binary_accuracy: 0.8572 - val_auc: 0.7757 - val_pr: 0.3958
Epoch 5/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3508 - binary_accuracy: 0.8592 - auc: 0.7759 - pr: 0.4018 - val_loss: 0.3530 - val_binary_accuracy: 0.8587 - val_auc: 0.7789 - val_pr: 0.4052
WARNING:tensorflow:5 out of the last 5 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f88541194c0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
Epoch 6/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3499 - binary_accuracy: 0.8596 - auc: 0.7774 - pr: 0.4057 - val_loss: 0.3678 - val_binary_accuracy: 0.8515 - val_auc: 0.7720 - val_pr: 0.3935
WARNING:tensorflow:6 out of the last 6 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f88350bf550> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.
Epoch 7/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3488 - binary_accuracy: 0.8602 - auc: 0.7790 - pr: 0.4101 - val_loss: 0.3691 - val_binary_accuracy: 0.8538 - val_auc: 0.7705 - val_pr: 0.3900
Epoch 8/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3486 - binary_accuracy: 0.8602 - auc: 0.7795 - pr: 0.4105 - val_loss: 0.3507 - val_binary_accuracy: 0.8596 - val_auc: 0.7814 - val_pr: 0.4147
Epoch 9/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3475 - binary_accuracy: 0.8607 - auc: 0.7814 - pr: 0.4147 - val_loss: 0.3479 - val_binary_accuracy: 0.8600 - val_auc: 0.7814 - val_pr: 0.4128
Epoch 10/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3469 - binary_accuracy: 0.8609 - auc: 0.7824 - pr: 0.4164 - val_loss: 0.3781 - val_binary_accuracy: 0.8471 - val_auc: 0.7614 - val_pr: 0.3770
Epoch 11/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3467 - binary_accuracy: 0.8609 - auc: 0.7828 - pr: 0.4170 - val_loss: 0.3514 - val_binary_accuracy: 0.8566 - val_auc: 0.7812 - val_pr: 0.4135
Epoch 12/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3460 - binary_accuracy: 0.8611 - auc: 0.7840 - pr: 0.4192 - val_loss: 0.3967 - val_binary_accuracy: 0.8310 - val_auc: 0.7665 - val_pr: 0.3885
Epoch 13/1000
256/256 [==============================] - 38s 146ms/step - loss: 0.3451 - binary_accuracy: 0.8615 - auc: 0.7854 - pr: 0.4224 - val_loss: 0.4080 - val_binary_accuracy: 0.8180 - val_auc: 0.7660 - val_pr: 0.3872
Epoch 14/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3445 - binary_accuracy: 0.8617 - auc: 0.7865 - pr: 0.4244 - val_loss: 0.3495 - val_binary_accuracy: 0.8601 - val_auc: 0.7831 - val_pr: 0.4155
Epoch 15/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3443 - binary_accuracy: 0.8616 - auc: 0.7871 - pr: 0.4245 - val_loss: 0.3512 - val_binary_accuracy: 0.8590 - val_auc: 0.7761 - val_pr: 0.4010
Epoch 16/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3440 - binary_accuracy: 0.8618 - auc: 0.7876 - pr: 0.4255 - val_loss: 0.3488 - val_binary_accuracy: 0.8599 - val_auc: 0.7796 - val_pr: 0.4117
Epoch 17/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3431 - binary_accuracy: 0.8622 - auc: 0.7889 - pr: 0.4290 - val_loss: 0.3467 - val_binary_accuracy: 0.8616 - val_auc: 0.7847 - val_pr: 0.4222
Epoch 18/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3428 - binary_accuracy: 0.8623 - auc: 0.7893 - pr: 0.4299 - val_loss: 0.3769 - val_binary_accuracy: 0.8401 - val_auc: 0.7785 - val_pr: 0.4107
Epoch 19/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3422 - binary_accuracy: 0.8624 - auc: 0.7905 - pr: 0.4316 - val_loss: 0.3467 - val_binary_accuracy: 0.8614 - val_auc: 0.7825 - val_pr: 0.4190
Epoch 20/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3425 - binary_accuracy: 0.8623 - auc: 0.7901 - pr: 0.4306 - val_loss: 0.4061 - val_binary_accuracy: 0.8239 - val_auc: 0.7708 - val_pr: 0.3940
Epoch 21/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3415 - binary_accuracy: 0.8627 - auc: 0.7917 - pr: 0.4336 - val_loss: 0.3476 - val_binary_accuracy: 0.8607 - val_auc: 0.7856 - val_pr: 0.4227
Epoch 22/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3410 - binary_accuracy: 0.8628 - auc: 0.7926 - pr: 0.4351 - val_loss: 0.3479 - val_binary_accuracy: 0.8601 - val_auc: 0.7869 - val_pr: 0.4244
Epoch 23/1000
256/256 [==============================] - 42s 156ms/step - loss: 0.3405 - binary_accuracy: 0.8629 - auc: 0.7935 - pr: 0.4367 - val_loss: 0.3825 - val_binary_accuracy: 0.8333 - val_auc: 0.7744 - val_pr: 0.4022
Epoch 24/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3401 - binary_accuracy: 0.8630 - auc: 0.7943 - pr: 0.4379 - val_loss: 0.3444 - val_binary_accuracy: 0.8611 - val_auc: 0.7884 - val_pr: 0.4253
Epoch 25/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3392 - binary_accuracy: 0.8635 - auc: 0.7955 - pr: 0.4414 - val_loss: 0.3445 - val_binary_accuracy: 0.8615 - val_auc: 0.7875 - val_pr: 0.4261
Epoch 26/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3390 - binary_accuracy: 0.8634 - auc: 0.7961 - pr: 0.4411 - val_loss: 0.3598 - val_binary_accuracy: 0.8504 - val_auc: 0.7846 - val_pr: 0.4216
Epoch 27/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3385 - binary_accuracy: 0.8634 - auc: 0.7970 - pr: 0.4422 - val_loss: 0.3471 - val_binary_accuracy: 0.8593 - val_auc: 0.7852 - val_pr: 0.4204
Epoch 28/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3385 - binary_accuracy: 0.8634 - auc: 0.7971 - pr: 0.4418 - val_loss: 0.3477 - val_binary_accuracy: 0.8606 - val_auc: 0.7842 - val_pr: 0.4169
Epoch 29/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3377 - binary_accuracy: 0.8637 - auc: 0.7985 - pr: 0.4450 - val_loss: 0.3437 - val_binary_accuracy: 0.8617 - val_auc: 0.7892 - val_pr: 0.4281
Epoch 30/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3375 - binary_accuracy: 0.8637 - auc: 0.7988 - pr: 0.4451 - val_loss: 0.3438 - val_binary_accuracy: 0.8609 - val_auc: 0.7892 - val_pr: 0.4254
Epoch 31/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3374 - binary_accuracy: 0.8637 - auc: 0.7991 - pr: 0.4454 - val_loss: 0.3470 - val_binary_accuracy: 0.8592 - val_auc: 0.7897 - val_pr: 0.4286
Epoch 32/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3370 - binary_accuracy: 0.8638 - auc: 0.7998 - pr: 0.4462 - val_loss: 0.3496 - val_binary_accuracy: 0.8578 - val_auc: 0.7894 - val_pr: 0.4281
Epoch 33/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3366 - binary_accuracy: 0.8639 - auc: 0.8005 - pr: 0.4474 - val_loss: 0.3431 - val_binary_accuracy: 0.8613 - val_auc: 0.7901 - val_pr: 0.4272
Epoch 34/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3364 - binary_accuracy: 0.8640 - auc: 0.8007 - pr: 0.4482 - val_loss: 0.3563 - val_binary_accuracy: 0.8525 - val_auc: 0.7888 - val_pr: 0.4277
Epoch 35/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3358 - binary_accuracy: 0.8642 - auc: 0.8018 - pr: 0.4500 - val_loss: 0.3461 - val_binary_accuracy: 0.8596 - val_auc: 0.7894 - val_pr: 0.4268
Epoch 36/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3355 - binary_accuracy: 0.8641 - auc: 0.8024 - pr: 0.4502 - val_loss: 0.3474 - val_binary_accuracy: 0.8606 - val_auc: 0.7857 - val_pr: 0.4220
Epoch 37/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3351 - binary_accuracy: 0.8643 - auc: 0.8031 - pr: 0.4517 - val_loss: 0.3467 - val_binary_accuracy: 0.8596 - val_auc: 0.7886 - val_pr: 0.4287
Epoch 38/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3347 - binary_accuracy: 0.8644 - auc: 0.8038 - pr: 0.4530 - val_loss: 0.3425 - val_binary_accuracy: 0.8617 - val_auc: 0.7908 - val_pr: 0.4286
Epoch 39/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3343 - binary_accuracy: 0.8645 - auc: 0.8045 - pr: 0.4538 - val_loss: 0.3426 - val_binary_accuracy: 0.8615 - val_auc: 0.7913 - val_pr: 0.4302
Epoch 40/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3341 - binary_accuracy: 0.8646 - auc: 0.8048 - pr: 0.4548 - val_loss: 0.3453 - val_binary_accuracy: 0.8602 - val_auc: 0.7892 - val_pr: 0.4287
Epoch 41/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3342 - binary_accuracy: 0.8645 - auc: 0.8047 - pr: 0.4539 - val_loss: 0.3436 - val_binary_accuracy: 0.8601 - val_auc: 0.7916 - val_pr: 0.4287
Epoch 42/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3334 - binary_accuracy: 0.8647 - auc: 0.8059 - pr: 0.4563 - val_loss: 0.3443 - val_binary_accuracy: 0.8606 - val_auc: 0.7910 - val_pr: 0.4313
Epoch 43/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3333 - binary_accuracy: 0.8647 - auc: 0.8061 - pr: 0.4562 - val_loss: 0.3432 - val_binary_accuracy: 0.8605 - val_auc: 0.7922 - val_pr: 0.4324
Epoch 44/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3334 - binary_accuracy: 0.8646 - auc: 0.8061 - pr: 0.4559 - val_loss: 0.3436 - val_binary_accuracy: 0.8601 - val_auc: 0.7924 - val_pr: 0.4321
Epoch 45/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3332 - binary_accuracy: 0.8647 - auc: 0.8064 - pr: 0.4564 - val_loss: 0.3445 - val_binary_accuracy: 0.8604 - val_auc: 0.7923 - val_pr: 0.4331
Epoch 46/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3328 - binary_accuracy: 0.8647 - auc: 0.8071 - pr: 0.4575 - val_loss: 0.3453 - val_binary_accuracy: 0.8595 - val_auc: 0.7896 - val_pr: 0.4284
Epoch 47/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3329 - binary_accuracy: 0.8647 - auc: 0.8071 - pr: 0.4571 - val_loss: 0.3417 - val_binary_accuracy: 0.8623 - val_auc: 0.7929 - val_pr: 0.4324
Epoch 48/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3324 - binary_accuracy: 0.8649 - auc: 0.8077 - pr: 0.4589 - val_loss: 0.3448 - val_binary_accuracy: 0.8610 - val_auc: 0.7902 - val_pr: 0.4288
Epoch 49/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3321 - binary_accuracy: 0.8650 - auc: 0.8083 - pr: 0.4597 - val_loss: 0.3432 - val_binary_accuracy: 0.8609 - val_auc: 0.7914 - val_pr: 0.4306
Epoch 50/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3319 - binary_accuracy: 0.8651 - auc: 0.8086 - pr: 0.4601 - val_loss: 0.3431 - val_binary_accuracy: 0.8617 - val_auc: 0.7897 - val_pr: 0.4276
Epoch 51/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3319 - binary_accuracy: 0.8650 - auc: 0.8087 - pr: 0.4596 - val_loss: 0.3417 - val_binary_accuracy: 0.8623 - val_auc: 0.7922 - val_pr: 0.4315
Epoch 52/1000
256/256 [==============================] - 44s 168ms/step - loss: 0.3320 - binary_accuracy: 0.8649 - auc: 0.8085 - pr: 0.4595 - val_loss: 0.3441 - val_binary_accuracy: 0.8613 - val_auc: 0.7900 - val_pr: 0.4270
Epoch 53/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3314 - binary_accuracy: 0.8651 - auc: 0.8095 - pr: 0.4609 - val_loss: 0.3411 - val_binary_accuracy: 0.8623 - val_auc: 0.7935 - val_pr: 0.4326
Epoch 54/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3314 - binary_accuracy: 0.8651 - auc: 0.8095 - pr: 0.4611 - val_loss: 0.3437 - val_binary_accuracy: 0.8599 - val_auc: 0.7925 - val_pr: 0.4319
Epoch 55/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3311 - binary_accuracy: 0.8652 - auc: 0.8100 - pr: 0.4623 - val_loss: 0.3425 - val_binary_accuracy: 0.8620 - val_auc: 0.7922 - val_pr: 0.4320
Epoch 56/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3311 - binary_accuracy: 0.8652 - auc: 0.8100 - pr: 0.4620 - val_loss: 0.3431 - val_binary_accuracy: 0.8608 - val_auc: 0.7916 - val_pr: 0.4320
Epoch 57/1000
256/256 [==============================] - 40s 156ms/step - loss: 0.3314 - binary_accuracy: 0.8651 - auc: 0.8096 - pr: 0.4611 - val_loss: 0.3409 - val_binary_accuracy: 0.8625 - val_auc: 0.7937 - val_pr: 0.4348
Epoch 58/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3311 - binary_accuracy: 0.8651 - auc: 0.8102 - pr: 0.4616 - val_loss: 0.3433 - val_binary_accuracy: 0.8605 - val_auc: 0.7919 - val_pr: 0.4311
Epoch 59/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3310 - binary_accuracy: 0.8652 - auc: 0.8104 - pr: 0.4620 - val_loss: 0.3410 - val_binary_accuracy: 0.8626 - val_auc: 0.7927 - val_pr: 0.4335
Epoch 60/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3305 - binary_accuracy: 0.8653 - auc: 0.8110 - pr: 0.4634 - val_loss: 0.3427 - val_binary_accuracy: 0.8617 - val_auc: 0.7902 - val_pr: 0.4278
Epoch 61/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3305 - binary_accuracy: 0.8653 - auc: 0.8110 - pr: 0.4633 - val_loss: 0.3413 - val_binary_accuracy: 0.8620 - val_auc: 0.7934 - val_pr: 0.4339
Epoch 62/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3305 - binary_accuracy: 0.8653 - auc: 0.8110 - pr: 0.4632 - val_loss: 0.3414 - val_binary_accuracy: 0.8622 - val_auc: 0.7930 - val_pr: 0.4342
Epoch 63/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3302 - binary_accuracy: 0.8654 - auc: 0.8116 - pr: 0.4642 - val_loss: 0.3413 - val_binary_accuracy: 0.8626 - val_auc: 0.7937 - val_pr: 0.4345
Epoch 64/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3302 - binary_accuracy: 0.8653 - auc: 0.8117 - pr: 0.4639 - val_loss: 0.3414 - val_binary_accuracy: 0.8618 - val_auc: 0.7934 - val_pr: 0.4347
Epoch 65/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3302 - binary_accuracy: 0.8653 - auc: 0.8116 - pr: 0.4641 - val_loss: 0.3405 - val_binary_accuracy: 0.8628 - val_auc: 0.7937 - val_pr: 0.4351
Epoch 66/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3300 - binary_accuracy: 0.8654 - auc: 0.8120 - pr: 0.4646 - val_loss: 0.3415 - val_binary_accuracy: 0.8623 - val_auc: 0.7925 - val_pr: 0.4329
Epoch 67/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3302 - binary_accuracy: 0.8653 - auc: 0.8117 - pr: 0.4639 - val_loss: 0.3406 - val_binary_accuracy: 0.8623 - val_auc: 0.7943 - val_pr: 0.4350
Epoch 68/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3297 - binary_accuracy: 0.8654 - auc: 0.8125 - pr: 0.4652 - val_loss: 0.3403 - val_binary_accuracy: 0.8628 - val_auc: 0.7941 - val_pr: 0.4356
Epoch 69/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3296 - binary_accuracy: 0.8655 - auc: 0.8125 - pr: 0.4658 - val_loss: 0.3428 - val_binary_accuracy: 0.8605 - val_auc: 0.7938 - val_pr: 0.4349
Epoch 70/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3298 - binary_accuracy: 0.8655 - auc: 0.8121 - pr: 0.4653 - val_loss: 0.3407 - val_binary_accuracy: 0.8626 - val_auc: 0.7937 - val_pr: 0.4346
Epoch 71/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3301 - binary_accuracy: 0.8653 - auc: 0.8119 - pr: 0.4642 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7940 - val_pr: 0.4366
Epoch 72/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3299 - binary_accuracy: 0.8654 - auc: 0.8122 - pr: 0.4650 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7932 - val_pr: 0.4351
Epoch 73/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3295 - binary_accuracy: 0.8655 - auc: 0.8128 - pr: 0.4655 - val_loss: 0.3422 - val_binary_accuracy: 0.8625 - val_auc: 0.7925 - val_pr: 0.4323
Epoch 74/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3293 - binary_accuracy: 0.8656 - auc: 0.8131 - pr: 0.4666 - val_loss: 0.3407 - val_binary_accuracy: 0.8626 - val_auc: 0.7943 - val_pr: 0.4366
Epoch 75/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3291 - binary_accuracy: 0.8656 - auc: 0.8135 - pr: 0.4670 - val_loss: 0.3409 - val_binary_accuracy: 0.8621 - val_auc: 0.7942 - val_pr: 0.4355
Epoch 76/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3290 - binary_accuracy: 0.8657 - auc: 0.8137 - pr: 0.4673 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7947 - val_pr: 0.4377
Epoch 77/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3291 - binary_accuracy: 0.8656 - auc: 0.8135 - pr: 0.4667 - val_loss: 0.3403 - val_binary_accuracy: 0.8627 - val_auc: 0.7944 - val_pr: 0.4352
Epoch 78/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3291 - binary_accuracy: 0.8656 - auc: 0.8135 - pr: 0.4668 - val_loss: 0.3407 - val_binary_accuracy: 0.8627 - val_auc: 0.7941 - val_pr: 0.4352
Epoch 79/1000
256/256 [==============================] - 44s 164ms/step - loss: 0.3287 - binary_accuracy: 0.8657 - auc: 0.8141 - pr: 0.4677 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7941 - val_pr: 0.4365
Epoch 80/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3287 - binary_accuracy: 0.8657 - auc: 0.8142 - pr: 0.4678 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7942 - val_pr: 0.4368
Epoch 81/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3285 - binary_accuracy: 0.8658 - auc: 0.8144 - pr: 0.4687 - val_loss: 0.3409 - val_binary_accuracy: 0.8623 - val_auc: 0.7941 - val_pr: 0.4368
Epoch 82/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3287 - binary_accuracy: 0.8657 - auc: 0.8142 - pr: 0.4678 - val_loss: 0.3419 - val_binary_accuracy: 0.8619 - val_auc: 0.7933 - val_pr: 0.4341
Epoch 83/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3286 - binary_accuracy: 0.8657 - auc: 0.8144 - pr: 0.4680 - val_loss: 0.3407 - val_binary_accuracy: 0.8627 - val_auc: 0.7935 - val_pr: 0.4347
Epoch 84/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3285 - binary_accuracy: 0.8657 - auc: 0.8144 - pr: 0.4680 - val_loss: 0.3404 - val_binary_accuracy: 0.8627 - val_auc: 0.7943 - val_pr: 0.4363
Epoch 85/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3283 - binary_accuracy: 0.8658 - auc: 0.8148 - pr: 0.4686 - val_loss: 0.3416 - val_binary_accuracy: 0.8612 - val_auc: 0.7939 - val_pr: 0.4360
Epoch 86/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3284 - binary_accuracy: 0.8658 - auc: 0.8147 - pr: 0.4688 - val_loss: 0.3409 - val_binary_accuracy: 0.8625 - val_auc: 0.7932 - val_pr: 0.4338
Epoch 87/1000
256/256 [==============================] - 39s 150ms/step - loss: 0.3283 - binary_accuracy: 0.8658 - auc: 0.8147 - pr: 0.4687 - val_loss: 0.3405 - val_binary_accuracy: 0.8626 - val_auc: 0.7944 - val_pr: 0.4359
Epoch 88/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3282 - binary_accuracy: 0.8658 - auc: 0.8150 - pr: 0.4689 - val_loss: 0.3403 - val_binary_accuracy: 0.8627 - val_auc: 0.7943 - val_pr: 0.4359
Epoch 89/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3281 - binary_accuracy: 0.8658 - auc: 0.8152 - pr: 0.4694 - val_loss: 0.3421 - val_binary_accuracy: 0.8610 - val_auc: 0.7936 - val_pr: 0.4350
Epoch 90/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3281 - binary_accuracy: 0.8658 - auc: 0.8151 - pr: 0.4693 - val_loss: 0.3405 - val_binary_accuracy: 0.8627 - val_auc: 0.7942 - val_pr: 0.4370
Epoch 91/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3278 - binary_accuracy: 0.8659 - auc: 0.8155 - pr: 0.4702 - val_loss: 0.3406 - val_binary_accuracy: 0.8627 - val_auc: 0.7942 - val_pr: 0.4353
Epoch 92/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3278 - binary_accuracy: 0.8659 - auc: 0.8156 - pr: 0.4703 - val_loss: 0.3402 - val_binary_accuracy: 0.8628 - val_auc: 0.7946 - val_pr: 0.4368
Epoch 93/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3276 - binary_accuracy: 0.8660 - auc: 0.8159 - pr: 0.4706 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7941 - val_pr: 0.4352
Epoch 94/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3277 - binary_accuracy: 0.8660 - auc: 0.8158 - pr: 0.4704 - val_loss: 0.3409 - val_binary_accuracy: 0.8621 - val_auc: 0.7941 - val_pr: 0.4363
Epoch 95/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3278 - binary_accuracy: 0.8659 - auc: 0.8156 - pr: 0.4701 - val_loss: 0.3416 - val_binary_accuracy: 0.8616 - val_auc: 0.7943 - val_pr: 0.4367
Epoch 96/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3275 - binary_accuracy: 0.8660 - auc: 0.8160 - pr: 0.4709 - val_loss: 0.3403 - val_binary_accuracy: 0.8624 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 97/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3277 - binary_accuracy: 0.8659 - auc: 0.8158 - pr: 0.4702 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7947 - val_pr: 0.4376
Epoch 98/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3286 - binary_accuracy: 0.8657 - auc: 0.8144 - pr: 0.4681 - val_loss: 0.3402 - val_binary_accuracy: 0.8628 - val_auc: 0.7942 - val_pr: 0.4359
Epoch 99/1000
256/256 [==============================] - 43s 167ms/step - loss: 0.3280 - binary_accuracy: 0.8658 - auc: 0.8154 - pr: 0.4695 - val_loss: 0.3411 - val_binary_accuracy: 0.8626 - val_auc: 0.7940 - val_pr: 0.4357
Epoch 100/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3276 - binary_accuracy: 0.8660 - auc: 0.8158 - pr: 0.4706 - val_loss: 0.3409 - val_binary_accuracy: 0.8620 - val_auc: 0.7943 - val_pr: 0.4365
Epoch 101/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3275 - binary_accuracy: 0.8660 - auc: 0.8161 - pr: 0.4709 - val_loss: 0.3407 - val_binary_accuracy: 0.8626 - val_auc: 0.7948 - val_pr: 0.4372
Epoch 102/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3272 - binary_accuracy: 0.8661 - auc: 0.8166 - pr: 0.4718 - val_loss: 0.3403 - val_binary_accuracy: 0.8626 - val_auc: 0.7945 - val_pr: 0.4367
Epoch 103/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3273 - binary_accuracy: 0.8661 - auc: 0.8164 - pr: 0.4716 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7949 - val_pr: 0.4377
Epoch 104/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3272 - binary_accuracy: 0.8661 - auc: 0.8165 - pr: 0.4718 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4377
Epoch 105/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3271 - binary_accuracy: 0.8661 - auc: 0.8168 - pr: 0.4720 - val_loss: 0.3403 - val_binary_accuracy: 0.8625 - val_auc: 0.7949 - val_pr: 0.4371
Epoch 106/1000
256/256 [==============================] - 39s 146ms/step - loss: 0.3270 - binary_accuracy: 0.8662 - auc: 0.8169 - pr: 0.4724 - val_loss: 0.3404 - val_binary_accuracy: 0.8623 - val_auc: 0.7950 - val_pr: 0.4372
Epoch 107/1000
256/256 [==============================] - 41s 153ms/step - loss: 0.3270 - binary_accuracy: 0.8661 - auc: 0.8169 - pr: 0.4721 - val_loss: 0.3402 - val_binary_accuracy: 0.8625 - val_auc: 0.7952 - val_pr: 0.4371
Epoch 108/1000
256/256 [==============================] - 37s 140ms/step - loss: 0.3270 - binary_accuracy: 0.8661 - auc: 0.8169 - pr: 0.4723 - val_loss: 0.3399 - val_binary_accuracy: 0.8626 - val_auc: 0.7956 - val_pr: 0.4378
Epoch 109/1000
256/256 [==============================] - 40s 152ms/step - loss: 0.3268 - binary_accuracy: 0.8662 - auc: 0.8172 - pr: 0.4731 - val_loss: 0.3395 - val_binary_accuracy: 0.8629 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 110/1000
256/256 [==============================] - 37s 140ms/step - loss: 0.3268 - binary_accuracy: 0.8662 - auc: 0.8171 - pr: 0.4727 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4367
Epoch 111/1000
256/256 [==============================] - 36s 136ms/step - loss: 0.3269 - binary_accuracy: 0.8662 - auc: 0.8170 - pr: 0.4726 - val_loss: 0.3399 - val_binary_accuracy: 0.8628 - val_auc: 0.7946 - val_pr: 0.4368
Epoch 112/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3268 - binary_accuracy: 0.8662 - auc: 0.8173 - pr: 0.4728 - val_loss: 0.3395 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 113/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3267 - binary_accuracy: 0.8663 - auc: 0.8174 - pr: 0.4733 - val_loss: 0.3406 - val_binary_accuracy: 0.8619 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 114/1000
256/256 [==============================] - 36s 137ms/step - loss: 0.3266 - binary_accuracy: 0.8662 - auc: 0.8175 - pr: 0.4733 - val_loss: 0.3402 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4371
Epoch 115/1000
256/256 [==============================] - 35s 135ms/step - loss: 0.3266 - binary_accuracy: 0.8662 - auc: 0.8175 - pr: 0.4731 - val_loss: 0.3403 - val_binary_accuracy: 0.8623 - val_auc: 0.7950 - val_pr: 0.4351
Epoch 116/1000
256/256 [==============================] - 39s 150ms/step - loss: 0.3267 - binary_accuracy: 0.8661 - auc: 0.8174 - pr: 0.4726 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 117/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3268 - binary_accuracy: 0.8662 - auc: 0.8172 - pr: 0.4727 - val_loss: 0.3405 - val_binary_accuracy: 0.8620 - val_auc: 0.7950 - val_pr: 0.4352
Epoch 118/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3267 - binary_accuracy: 0.8662 - auc: 0.8173 - pr: 0.4727 - val_loss: 0.3406 - val_binary_accuracy: 0.8628 - val_auc: 0.7946 - val_pr: 0.4368
Epoch 119/1000
256/256 [==============================] - 34s 132ms/step - loss: 0.3269 - binary_accuracy: 0.8662 - auc: 0.8170 - pr: 0.4726 - val_loss: 0.3400 - val_binary_accuracy: 0.8627 - val_auc: 0.7951 - val_pr: 0.4365
Epoch 120/1000
256/256 [==============================] - 38s 146ms/step - loss: 0.3264 - binary_accuracy: 0.8663 - auc: 0.8179 - pr: 0.4739 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4362
Epoch 121/1000
256/256 [==============================] - 35s 133ms/step - loss: 0.3263 - binary_accuracy: 0.8663 - auc: 0.8180 - pr: 0.4742 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4383
Epoch 122/1000
256/256 [==============================] - 36s 139ms/step - loss: 0.3263 - binary_accuracy: 0.8663 - auc: 0.8179 - pr: 0.4739 - val_loss: 0.3400 - val_binary_accuracy: 0.8628 - val_auc: 0.7954 - val_pr: 0.4370
Epoch 123/1000
256/256 [==============================] - 39s 149ms/step - loss: 0.3264 - binary_accuracy: 0.8662 - auc: 0.8179 - pr: 0.4736 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4372
Epoch 124/1000
256/256 [==============================] - 37s 141ms/step - loss: 0.3263 - binary_accuracy: 0.8663 - auc: 0.8181 - pr: 0.4740 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4373
Epoch 125/1000
256/256 [==============================] - 34s 132ms/step - loss: 0.3262 - binary_accuracy: 0.8663 - auc: 0.8182 - pr: 0.4741 - val_loss: 0.3409 - val_binary_accuracy: 0.8625 - val_auc: 0.7933 - val_pr: 0.4337
Epoch 126/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3263 - binary_accuracy: 0.8663 - auc: 0.8180 - pr: 0.4738 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4369
Epoch 127/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3262 - binary_accuracy: 0.8663 - auc: 0.8182 - pr: 0.4742 - val_loss: 0.3396 - val_binary_accuracy: 0.8628 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 128/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3262 - binary_accuracy: 0.8663 - auc: 0.8182 - pr: 0.4743 - val_loss: 0.3396 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4370
Epoch 129/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3264 - binary_accuracy: 0.8662 - auc: 0.8179 - pr: 0.4734 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4375
Epoch 130/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3261 - binary_accuracy: 0.8664 - auc: 0.8184 - pr: 0.4747 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 131/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3261 - binary_accuracy: 0.8664 - auc: 0.8184 - pr: 0.4746 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 132/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3260 - binary_accuracy: 0.8664 - auc: 0.8185 - pr: 0.4750 - val_loss: 0.3398 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4371
Epoch 133/1000
256/256 [==============================] - 37s 138ms/step - loss: 0.3261 - binary_accuracy: 0.8663 - auc: 0.8183 - pr: 0.4744 - val_loss: 0.3407 - val_binary_accuracy: 0.8625 - val_auc: 0.7945 - val_pr: 0.4348
Epoch 134/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3274 - binary_accuracy: 0.8659 - auc: 0.8163 - pr: 0.4707 - val_loss: 0.3402 - val_binary_accuracy: 0.8625 - val_auc: 0.7947 - val_pr: 0.4374
Epoch 135/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3264 - binary_accuracy: 0.8663 - auc: 0.8179 - pr: 0.4737 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7942 - val_pr: 0.4360
Epoch 136/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3261 - binary_accuracy: 0.8664 - auc: 0.8183 - pr: 0.4746 - val_loss: 0.3400 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4372
Epoch 137/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3259 - binary_accuracy: 0.8664 - auc: 0.8186 - pr: 0.4750 - val_loss: 0.3406 - val_binary_accuracy: 0.8620 - val_auc: 0.7950 - val_pr: 0.4362
Epoch 138/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3258 - binary_accuracy: 0.8664 - auc: 0.8188 - pr: 0.4750 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4379
Epoch 139/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3258 - binary_accuracy: 0.8664 - auc: 0.8189 - pr: 0.4754 - val_loss: 0.3397 - val_binary_accuracy: 0.8628 - val_auc: 0.7955 - val_pr: 0.4380
Epoch 140/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3258 - binary_accuracy: 0.8664 - auc: 0.8188 - pr: 0.4751 - val_loss: 0.3396 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4379
Epoch 141/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3259 - binary_accuracy: 0.8664 - auc: 0.8187 - pr: 0.4753 - val_loss: 0.3392 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4392
Epoch 142/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3256 - binary_accuracy: 0.8665 - auc: 0.8191 - pr: 0.4759 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 143/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3256 - binary_accuracy: 0.8665 - auc: 0.8192 - pr: 0.4759 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4380
Epoch 144/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3257 - binary_accuracy: 0.8664 - auc: 0.8190 - pr: 0.4756 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 145/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3256 - binary_accuracy: 0.8665 - auc: 0.8191 - pr: 0.4759 - val_loss: 0.3392 - val_binary_accuracy: 0.8630 - val_auc: 0.7960 - val_pr: 0.4393
Epoch 146/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3257 - binary_accuracy: 0.8664 - auc: 0.8191 - pr: 0.4755 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4373
Epoch 147/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3259 - binary_accuracy: 0.8664 - auc: 0.8188 - pr: 0.4750 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4377
Epoch 148/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3255 - binary_accuracy: 0.8665 - auc: 0.8192 - pr: 0.4761 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4387
Epoch 149/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3257 - binary_accuracy: 0.8664 - auc: 0.8190 - pr: 0.4756 - val_loss: 0.3392 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 150/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3255 - binary_accuracy: 0.8665 - auc: 0.8194 - pr: 0.4762 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4376
Epoch 151/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3256 - binary_accuracy: 0.8664 - auc: 0.8192 - pr: 0.4757 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 152/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3255 - binary_accuracy: 0.8665 - auc: 0.8192 - pr: 0.4759 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4382
Epoch 153/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3255 - binary_accuracy: 0.8665 - auc: 0.8193 - pr: 0.4761 - val_loss: 0.3396 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4376
Epoch 154/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8197 - pr: 0.4769 - val_loss: 0.3396 - val_binary_accuracy: 0.8628 - val_auc: 0.7958 - val_pr: 0.4383
Epoch 155/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3254 - binary_accuracy: 0.8665 - auc: 0.8195 - pr: 0.4763 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4385
Epoch 156/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3253 - binary_accuracy: 0.8665 - auc: 0.8197 - pr: 0.4766 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7949 - val_pr: 0.4372
Epoch 157/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3255 - binary_accuracy: 0.8665 - auc: 0.8193 - pr: 0.4759 - val_loss: 0.3399 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4367
Epoch 158/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3253 - binary_accuracy: 0.8665 - auc: 0.8196 - pr: 0.4765 - val_loss: 0.3404 - val_binary_accuracy: 0.8622 - val_auc: 0.7951 - val_pr: 0.4370
Epoch 159/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3257 - binary_accuracy: 0.8665 - auc: 0.8190 - pr: 0.4758 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4379
Epoch 160/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3254 - binary_accuracy: 0.8665 - auc: 0.8195 - pr: 0.4763 - val_loss: 0.3404 - val_binary_accuracy: 0.8626 - val_auc: 0.7948 - val_pr: 0.4363
Epoch 161/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3253 - binary_accuracy: 0.8666 - auc: 0.8197 - pr: 0.4767 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4377
Epoch 162/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8198 - pr: 0.4769 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4374
Epoch 163/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8198 - pr: 0.4768 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 164/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8198 - pr: 0.4769 - val_loss: 0.3395 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 165/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3253 - binary_accuracy: 0.8665 - auc: 0.8196 - pr: 0.4765 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 166/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3251 - binary_accuracy: 0.8666 - auc: 0.8199 - pr: 0.4770 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 167/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3253 - binary_accuracy: 0.8665 - auc: 0.8196 - pr: 0.4763 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4366
Epoch 168/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8199 - pr: 0.4769 - val_loss: 0.3407 - val_binary_accuracy: 0.8621 - val_auc: 0.7949 - val_pr: 0.4372
Epoch 169/1000
256/256 [==============================] - 40s 152ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8198 - pr: 0.4769 - val_loss: 0.3403 - val_binary_accuracy: 0.8623 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 170/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3250 - binary_accuracy: 0.8666 - auc: 0.8201 - pr: 0.4774 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4373
Epoch 171/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3250 - binary_accuracy: 0.8666 - auc: 0.8201 - pr: 0.4774 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 172/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3250 - binary_accuracy: 0.8667 - auc: 0.8201 - pr: 0.4775 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 173/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8198 - pr: 0.4771 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7948 - val_pr: 0.4379
Epoch 174/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3251 - binary_accuracy: 0.8666 - auc: 0.8200 - pr: 0.4769 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4386
Epoch 175/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3253 - binary_accuracy: 0.8665 - auc: 0.8197 - pr: 0.4765 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 176/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3251 - binary_accuracy: 0.8666 - auc: 0.8200 - pr: 0.4770 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4390
Epoch 177/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3250 - binary_accuracy: 0.8666 - auc: 0.8201 - pr: 0.4773 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 178/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3250 - binary_accuracy: 0.8666 - auc: 0.8200 - pr: 0.4773 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4383
Epoch 179/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3249 - binary_accuracy: 0.8666 - auc: 0.8202 - pr: 0.4776 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 180/1000
256/256 [==============================] - 41s 153ms/step - loss: 0.3249 - binary_accuracy: 0.8666 - auc: 0.8203 - pr: 0.4775 - val_loss: 0.3402 - val_binary_accuracy: 0.8622 - val_auc: 0.7959 - val_pr: 0.4384
Epoch 181/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3251 - binary_accuracy: 0.8666 - auc: 0.8199 - pr: 0.4770 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 182/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3249 - binary_accuracy: 0.8666 - auc: 0.8202 - pr: 0.4775 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4370
Epoch 183/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3252 - binary_accuracy: 0.8666 - auc: 0.8199 - pr: 0.4769 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4384
Epoch 184/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3248 - binary_accuracy: 0.8667 - auc: 0.8204 - pr: 0.4781 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 185/1000
256/256 [==============================] - 40s 151ms/step - loss: 0.3248 - binary_accuracy: 0.8667 - auc: 0.8204 - pr: 0.4779 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 186/1000
256/256 [==============================] - 40s 149ms/step - loss: 0.3249 - binary_accuracy: 0.8666 - auc: 0.8203 - pr: 0.4776 - val_loss: 0.3401 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4369
Epoch 187/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4779 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4377
Epoch 188/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4779 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 189/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4783 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 190/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3250 - binary_accuracy: 0.8666 - auc: 0.8201 - pr: 0.4773 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4390
Epoch 191/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3248 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4780 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 192/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3248 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4779 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 193/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4781 - val_loss: 0.3397 - val_binary_accuracy: 0.8627 - val_auc: 0.7957 - val_pr: 0.4382
Epoch 194/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8206 - pr: 0.4784 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 195/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8205 - pr: 0.4781 - val_loss: 0.3396 - val_binary_accuracy: 0.8629 - val_auc: 0.7958 - val_pr: 0.4378
Epoch 196/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8207 - pr: 0.4784 - val_loss: 0.3394 - val_binary_accuracy: 0.8629 - val_auc: 0.7957 - val_pr: 0.4381
Epoch 197/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3246 - binary_accuracy: 0.8668 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4375
Epoch 198/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4785 - val_loss: 0.3392 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4390
Epoch 199/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4785 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4383
Epoch 200/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8206 - pr: 0.4784 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 201/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8206 - pr: 0.4778 - val_loss: 0.3395 - val_binary_accuracy: 0.8629 - val_auc: 0.7958 - val_pr: 0.4379
Epoch 202/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 203/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4379
Epoch 204/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3248 - binary_accuracy: 0.8667 - auc: 0.8204 - pr: 0.4779 - val_loss: 0.3393 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 205/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3247 - binary_accuracy: 0.8667 - auc: 0.8207 - pr: 0.4781 - val_loss: 0.3393 - val_binary_accuracy: 0.8630 - val_auc: 0.7960 - val_pr: 0.4383
Epoch 206/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8207 - pr: 0.4782 - val_loss: 0.3399 - val_binary_accuracy: 0.8627 - val_auc: 0.7957 - val_pr: 0.4377
Epoch 207/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4785 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4388
Epoch 208/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3393 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4382
Epoch 209/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8209 - pr: 0.4786 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4391
Epoch 210/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8209 - pr: 0.4788 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4380
Epoch 211/1000
256/256 [==============================] - 39s 147ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8207 - pr: 0.4784 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4380
Epoch 212/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 213/1000
256/256 [==============================] - 37s 142ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8209 - pr: 0.4787 - val_loss: 0.3394 - val_binary_accuracy: 0.8629 - val_auc: 0.7960 - val_pr: 0.4384
Epoch 214/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4785 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7962 - val_pr: 0.4395
Epoch 215/1000
256/256 [==============================] - 39s 149ms/step - loss: 0.3246 - binary_accuracy: 0.8667 - auc: 0.8208 - pr: 0.4783 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4384
Epoch 216/1000
256/256 [==============================] - 194s 753ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8209 - pr: 0.4786 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4379
Epoch 217/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8209 - pr: 0.4785 - val_loss: 0.3393 - val_binary_accuracy: 0.8629 - val_auc: 0.7961 - val_pr: 0.4388
Epoch 218/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3245 - binary_accuracy: 0.8668 - auc: 0.8208 - pr: 0.4786 - val_loss: 0.3391 - val_binary_accuracy: 0.8630 - val_auc: 0.7963 - val_pr: 0.4393
Epoch 219/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4788 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 220/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4793 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 221/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4789 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 222/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8210 - pr: 0.4789 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4386
Epoch 223/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4792 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7961 - val_pr: 0.4389
Epoch 224/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4792 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 225/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4790 - val_loss: 0.3392 - val_binary_accuracy: 0.8631 - val_auc: 0.7962 - val_pr: 0.4390
Epoch 226/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4790 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4390
Epoch 227/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4790 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 228/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3245 - binary_accuracy: 0.8667 - auc: 0.8209 - pr: 0.4787 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4384
Epoch 229/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4789 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4384
Epoch 230/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4793 - val_loss: 0.3398 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 231/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3244 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4788 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4388
Epoch 232/1000
256/256 [==============================] - 44s 166ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4793 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4381
Epoch 233/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3244 - binary_accuracy: 0.8667 - auc: 0.8211 - pr: 0.4789 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7961 - val_pr: 0.4390
Epoch 234/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8213 - pr: 0.4794 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4393
Epoch 235/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4789 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4384
Epoch 236/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8213 - pr: 0.4795 - val_loss: 0.3391 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4397
Epoch 237/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8211 - pr: 0.4791 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4392
Epoch 238/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8213 - pr: 0.4795 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 239/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3241 - binary_accuracy: 0.8669 - auc: 0.8214 - pr: 0.4796 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7963 - val_pr: 0.4401
Epoch 240/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8212 - pr: 0.4794 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7963 - val_pr: 0.4395
Epoch 241/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4794 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 242/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3241 - binary_accuracy: 0.8668 - auc: 0.8215 - pr: 0.4794 - val_loss: 0.3390 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4395
Epoch 243/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3241 - binary_accuracy: 0.8669 - auc: 0.8214 - pr: 0.4796 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7963 - val_pr: 0.4392
Epoch 244/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4794 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4379
Epoch 245/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4793 - val_loss: 0.3393 - val_binary_accuracy: 0.8629 - val_auc: 0.7961 - val_pr: 0.4388
Epoch 246/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3241 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4796 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4391
Epoch 247/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3241 - binary_accuracy: 0.8669 - auc: 0.8215 - pr: 0.4797 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4381
Epoch 248/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8213 - pr: 0.4792 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 249/1000
256/256 [==============================] - 44s 167ms/step - loss: 0.3242 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4795 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 250/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 251/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3241 - binary_accuracy: 0.8669 - auc: 0.8215 - pr: 0.4798 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 252/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3243 - binary_accuracy: 0.8668 - auc: 0.8213 - pr: 0.4792 - val_loss: 0.3391 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4394
Epoch 253/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4799 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 254/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4799 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 255/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4386
Epoch 256/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4801 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7957 - val_pr: 0.4382
Epoch 257/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3241 - binary_accuracy: 0.8668 - auc: 0.8214 - pr: 0.4796 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 258/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4799 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4391
Epoch 259/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4798 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4383
Epoch 260/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3241 - binary_accuracy: 0.8669 - auc: 0.8215 - pr: 0.4797 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 261/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4799 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 262/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4387
Epoch 263/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4802 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4391
Epoch 264/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 265/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4799 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4392
Epoch 266/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4799 - val_loss: 0.3409 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4381
Epoch 267/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4799 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4386
Epoch 268/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7960 - val_pr: 0.4384
Epoch 269/1000
256/256 [==============================] - 41s 154ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4802 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7962 - val_pr: 0.4390
Epoch 270/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4800 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4384
Epoch 271/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4803 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4381
Epoch 272/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4799 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4388
Epoch 273/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4798 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7960 - val_pr: 0.4387
Epoch 274/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4799 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4388
Epoch 275/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3238 - binary_accuracy: 0.8670 - auc: 0.8220 - pr: 0.4806 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4386
Epoch 276/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4802 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 277/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4803 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 278/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4802 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 279/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4803 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4391
Epoch 280/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8217 - pr: 0.4801 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4391
Epoch 281/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4802 - val_loss: 0.3391 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4392
Epoch 282/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4802 - val_loss: 0.3392 - val_binary_accuracy: 0.8630 - val_auc: 0.7961 - val_pr: 0.4392
Epoch 283/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4805 - val_loss: 0.3391 - val_binary_accuracy: 0.8631 - val_auc: 0.7962 - val_pr: 0.4392
Epoch 284/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3240 - binary_accuracy: 0.8668 - auc: 0.8217 - pr: 0.4798 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4385
Epoch 285/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3240 - binary_accuracy: 0.8669 - auc: 0.8216 - pr: 0.4797 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 286/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4802 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 287/1000
256/256 [==============================] - 40s 152ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4800 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 288/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4801 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 289/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4806 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 290/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3237 - binary_accuracy: 0.8669 - auc: 0.8221 - pr: 0.4805 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4397
Epoch 291/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4801 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 292/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3238 - binary_accuracy: 0.8670 - auc: 0.8220 - pr: 0.4805 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 293/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4805 - val_loss: 0.3394 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 294/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3237 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4808 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 295/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3237 - binary_accuracy: 0.8669 - auc: 0.8222 - pr: 0.4806 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 296/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8219 - pr: 0.4803 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4387
Epoch 297/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3237 - binary_accuracy: 0.8669 - auc: 0.8222 - pr: 0.4806 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4379
Epoch 298/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4803 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4386
Epoch 299/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4804 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 300/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3237 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4806 - val_loss: 0.3396 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4380
Epoch 301/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4808 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 302/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3238 - binary_accuracy: 0.8669 - auc: 0.8220 - pr: 0.4803 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4376
Epoch 303/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3239 - binary_accuracy: 0.8669 - auc: 0.8218 - pr: 0.4800 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4379
Epoch 304/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4809 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4393
Epoch 305/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4809 - val_loss: 0.3392 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4391
Epoch 306/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3237 - binary_accuracy: 0.8669 - auc: 0.8222 - pr: 0.4807 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4390
Epoch 307/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4807 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4383
Epoch 308/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4808 - val_loss: 0.3397 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 309/1000
256/256 [==============================] - 42s 156ms/step - loss: 0.3236 - binary_accuracy: 0.8669 - auc: 0.8223 - pr: 0.4808 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4381
Epoch 310/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4807 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 311/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4809 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 312/1000
256/256 [==============================] - 41s 154ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4809 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 313/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4810 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4393
Epoch 314/1000
256/256 [==============================] - 42s 156ms/step - loss: 0.3237 - binary_accuracy: 0.8669 - auc: 0.8222 - pr: 0.4807 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4392
Epoch 315/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4809 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4387
Epoch 316/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4809 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4391
Epoch 317/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4808 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 318/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3403 - val_binary_accuracy: 0.8628 - val_auc: 0.7955 - val_pr: 0.4380
Epoch 319/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 320/1000
256/256 [==============================] - 40s 149ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4812 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 321/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4810 - val_loss: 0.3391 - val_binary_accuracy: 0.8632 - val_auc: 0.7962 - val_pr: 0.4394
Epoch 322/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7960 - val_pr: 0.4386
Epoch 323/1000
256/256 [==============================] - 42s 156ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4810 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 324/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4386
Epoch 325/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3237 - binary_accuracy: 0.8670 - auc: 0.8221 - pr: 0.4807 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 326/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3236 - binary_accuracy: 0.8669 - auc: 0.8223 - pr: 0.4808 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4386
Epoch 327/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3237 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4808 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4384
Epoch 328/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8223 - pr: 0.4809 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 329/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3236 - binary_accuracy: 0.8669 - auc: 0.8223 - pr: 0.4807 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 330/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4394
Epoch 331/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3236 - binary_accuracy: 0.8669 - auc: 0.8223 - pr: 0.4807 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 332/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4813 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 333/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3235 - binary_accuracy: 0.8669 - auc: 0.8224 - pr: 0.4809 - val_loss: 0.3395 - val_binary_accuracy: 0.8633 - val_auc: 0.7958 - val_pr: 0.4396
Epoch 334/1000
256/256 [==============================] - 40s 151ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4810 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4394
Epoch 335/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4390
Epoch 336/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4812 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4390
Epoch 337/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4815 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 338/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4811 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4384
Epoch 339/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4812 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4394
Epoch 340/1000
256/256 [==============================] - 39s 151ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4815 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4393
Epoch 341/1000
256/256 [==============================] - 40s 152ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4815 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 342/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3393 - val_binary_accuracy: 0.8631 - val_auc: 0.7960 - val_pr: 0.4390
Epoch 343/1000
256/256 [==============================] - 86s 284ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 344/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4809 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4392
Epoch 345/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4813 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4394
Epoch 346/1000
256/256 [==============================] - 39s 150ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4808 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 347/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3237 - binary_accuracy: 0.8670 - auc: 0.8222 - pr: 0.4809 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 348/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 349/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4392
Epoch 350/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4811 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 351/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3394 - val_binary_accuracy: 0.8633 - val_auc: 0.7960 - val_pr: 0.4398
Epoch 352/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4812 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4392
Epoch 353/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 354/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4814 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4378
Epoch 355/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3236 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4809 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 356/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4815 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4386
Epoch 357/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4813 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4387
Epoch 358/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 359/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 360/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4810 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7961 - val_pr: 0.4393
Epoch 361/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4817 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4395
Epoch 362/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4814 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 363/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8224 - pr: 0.4810 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 364/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4817 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 365/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 366/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8227 - pr: 0.4817 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4388
Epoch 367/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7961 - val_pr: 0.4395
Epoch 368/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 369/1000
256/256 [==============================] - 39s 147ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 370/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4392
Epoch 371/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8228 - pr: 0.4816 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 372/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3235 - binary_accuracy: 0.8670 - auc: 0.8225 - pr: 0.4812 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4391
Epoch 373/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 374/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8227 - pr: 0.4816 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 375/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 376/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 377/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4391
Epoch 378/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 379/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3392 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4392
Epoch 380/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 381/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 382/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3232 - binary_accuracy: 0.8670 - auc: 0.8229 - pr: 0.4817 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 383/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8228 - pr: 0.4816 - val_loss: 0.3414 - val_binary_accuracy: 0.8627 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 384/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3234 - binary_accuracy: 0.8670 - auc: 0.8226 - pr: 0.4814 - val_loss: 0.3399 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 385/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 386/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 387/1000
256/256 [==============================] - 40s 156ms/step - loss: 0.3232 - binary_accuracy: 0.8670 - auc: 0.8228 - pr: 0.4817 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4384
Epoch 388/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4820 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 389/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8228 - pr: 0.4816 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4392
Epoch 390/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4818 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 391/1000
256/256 [==============================] - 34s 129ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 392/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3233 - binary_accuracy: 0.8671 - auc: 0.8228 - pr: 0.4818 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 393/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 394/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 395/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4820 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 396/1000
256/256 [==============================] - 41s 154ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 397/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4819 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4392
Epoch 398/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 399/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4817 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 400/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 401/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3232 - binary_accuracy: 0.8670 - auc: 0.8229 - pr: 0.4818 - val_loss: 0.3392 - val_binary_accuracy: 0.8632 - val_auc: 0.7960 - val_pr: 0.4394
Epoch 402/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 403/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 404/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3232 - binary_accuracy: 0.8670 - auc: 0.8230 - pr: 0.4817 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4384
Epoch 405/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4391
Epoch 406/1000
256/256 [==============================] - 40s 150ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4822 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 407/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4820 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4381
Epoch 408/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 409/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 410/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 411/1000
256/256 [==============================] - 40s 151ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4377
Epoch 412/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 413/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 414/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4819 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4380
Epoch 415/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4822 - val_loss: 0.3405 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4386
Epoch 416/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4379
Epoch 417/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7957 - val_pr: 0.4382
Epoch 418/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4382
Epoch 419/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3400 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 420/1000
256/256 [==============================] - 44s 166ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4387
Epoch 421/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 422/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 423/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4381
Epoch 424/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4380
Epoch 425/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4820 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 426/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4819 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 427/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 428/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 429/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3399 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 430/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4390
Epoch 431/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 432/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 433/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 434/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4820 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 435/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4821 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 436/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 437/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4379
Epoch 438/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4821 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4379
Epoch 439/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7959 - val_pr: 0.4387
Epoch 440/1000
256/256 [==============================] - 41s 154ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 441/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4820 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 442/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8232 - pr: 0.4825 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 443/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4383
Epoch 444/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4389
Epoch 445/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 446/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4819 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 447/1000
256/256 [==============================] - 40s 156ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4822 - val_loss: 0.3396 - val_binary_accuracy: 0.8630 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 448/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 449/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 450/1000
256/256 [==============================] - 39s 150ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4825 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4392
Epoch 451/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4826 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4390
Epoch 452/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 453/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 454/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 455/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7957 - val_pr: 0.4386
Epoch 456/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4391
Epoch 457/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3232 - binary_accuracy: 0.8671 - auc: 0.8229 - pr: 0.4818 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 458/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8230 - pr: 0.4821 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 459/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 460/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3231 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4822 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 461/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3400 - val_binary_accuracy: 0.8628 - val_auc: 0.7954 - val_pr: 0.4379
Epoch 462/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4822 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 463/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 464/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8232 - pr: 0.4826 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 465/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 466/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 467/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 468/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 469/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 470/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 471/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 472/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 473/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 474/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3404 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 475/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4824 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 476/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3411 - val_binary_accuracy: 0.8624 - val_auc: 0.7951 - val_pr: 0.4375
Epoch 477/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 478/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8232 - pr: 0.4823 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 479/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4824 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 480/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 481/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 482/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 483/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 484/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 485/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 486/1000
256/256 [==============================] - 37s 141ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4386
Epoch 487/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 488/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 489/1000
256/256 [==============================] - 39s 152ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 490/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4826 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 491/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3395 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 492/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 493/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 494/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 495/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4825 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 496/1000
256/256 [==============================] - 43s 167ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 497/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4826 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4385
Epoch 498/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4389
Epoch 499/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4829 - val_loss: 0.3405 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 500/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4392
Epoch 501/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4829 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 502/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 503/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 504/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 505/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 506/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 507/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 508/1000
256/256 [==============================] - 44s 168ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4826 - val_loss: 0.3405 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4375
Epoch 509/1000
256/256 [==============================] - 40s 150ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4389
Epoch 510/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 511/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 512/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 513/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 514/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 515/1000
256/256 [==============================] - 44s 164ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4829 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4382
Epoch 516/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3228 - binary_accuracy: 0.8671 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3401 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4372
Epoch 517/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 518/1000
256/256 [==============================] - 44s 163ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 519/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4378
Epoch 520/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 521/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8671 - auc: 0.8235 - pr: 0.4827 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 522/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 523/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4385
Epoch 524/1000
256/256 [==============================] - 44s 168ms/step - loss: 0.3228 - binary_accuracy: 0.8671 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 525/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 526/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 527/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4378
Epoch 528/1000
256/256 [==============================] - 44s 166ms/step - loss: 0.3230 - binary_accuracy: 0.8671 - auc: 0.8231 - pr: 0.4823 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 529/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3233 - binary_accuracy: 0.8670 - auc: 0.8227 - pr: 0.4815 - val_loss: 0.3403 - val_binary_accuracy: 0.8627 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 530/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3230 - binary_accuracy: 0.8672 - auc: 0.8233 - pr: 0.4826 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 531/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8233 - pr: 0.4827 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 532/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4827 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 533/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3229 - binary_accuracy: 0.8672 - auc: 0.8234 - pr: 0.4828 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 534/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 535/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3229 - binary_accuracy: 0.8671 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 536/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 537/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 538/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 539/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 540/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4831 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 541/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 542/1000
256/256 [==============================] - 44s 167ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4387
Epoch 543/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 544/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 545/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4831 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4388
Epoch 546/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 547/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4831 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 548/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 549/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 550/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 551/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 552/1000
256/256 [==============================] - 44s 167ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4831 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 553/1000
256/256 [==============================] - 44s 167ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3394 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 554/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 555/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4833 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7959 - val_pr: 0.4391
Epoch 556/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 557/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 558/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7956 - val_pr: 0.4385
Epoch 559/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4393
Epoch 560/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7957 - val_pr: 0.4384
Epoch 561/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 562/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 563/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 564/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4391
Epoch 565/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4828 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 566/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 567/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4388
Epoch 568/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 569/1000
256/256 [==============================] - 37s 143ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 570/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4829 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4390
Epoch 571/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4830 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 572/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 573/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8235 - pr: 0.4830 - val_loss: 0.3393 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4391
Epoch 574/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 575/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 576/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 577/1000
256/256 [==============================] - 43s 160ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 578/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 579/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 580/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 581/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4392
Epoch 582/1000
256/256 [==============================] - 38s 146ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 583/1000
256/256 [==============================] - 37s 143ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 584/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7954 - val_pr: 0.4386
Epoch 585/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4381
Epoch 586/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 587/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 588/1000
256/256 [==============================] - 39s 148ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 589/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 590/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4831 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 591/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4392
Epoch 592/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 593/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4831 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4391
Epoch 594/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4831 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4389
Epoch 595/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 596/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4833 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 597/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 598/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 599/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 600/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 601/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 602/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 603/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 604/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4390
Epoch 605/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3228 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4830 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 606/1000
256/256 [==============================] - 39s 151ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 607/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 608/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 609/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4831 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 610/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 611/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 612/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4831 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 613/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 614/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 615/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 616/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 617/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3397 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 618/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 619/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 620/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 621/1000
256/256 [==============================] - 39s 151ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3394 - val_binary_accuracy: 0.8632 - val_auc: 0.7959 - val_pr: 0.4390
Epoch 622/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8236 - pr: 0.4832 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4384
Epoch 623/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 624/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 625/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 626/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 627/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 628/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 629/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 630/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3407 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 631/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 632/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 633/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 634/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3399 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 635/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 636/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7958 - val_pr: 0.4390
Epoch 637/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 638/1000
256/256 [==============================] - 38s 145ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 639/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 640/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4373
Epoch 641/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 642/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 643/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 644/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 645/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8237 - pr: 0.4835 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 646/1000
256/256 [==============================] - 44s 166ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 647/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 648/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 649/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 650/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 651/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 652/1000
256/256 [==============================] - 38s 145ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 653/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4832 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 654/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4832 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4387
Epoch 655/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 656/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3395 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4382
Epoch 657/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4833 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4378
Epoch 658/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 659/1000
256/256 [==============================] - 39s 152ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 660/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 661/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3227 - binary_accuracy: 0.8672 - auc: 0.8237 - pr: 0.4834 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 662/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 663/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 664/1000
256/256 [==============================] - 43s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7956 - val_pr: 0.4390
Epoch 665/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4834 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 666/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 667/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 668/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 669/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 670/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4836 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 671/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4378
Epoch 672/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 673/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 674/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4834 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 675/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 676/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 677/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7958 - val_pr: 0.4391
Epoch 678/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 679/1000
256/256 [==============================] - 40s 154ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4835 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 680/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8238 - pr: 0.4837 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 681/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 682/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 683/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 684/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4834 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 685/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 686/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3401 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4375
Epoch 687/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 688/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4838 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4377
Epoch 689/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7957 - val_pr: 0.4387
Epoch 690/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 691/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 692/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4835 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 693/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3403 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 694/1000
256/256 [==============================] - 44s 168ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 695/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4388
Epoch 696/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4833 - val_loss: 0.3403 - val_binary_accuracy: 0.8627 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 697/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 698/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4835 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 699/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 700/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4378
Epoch 701/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 702/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 703/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 704/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4380
Epoch 705/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 706/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 707/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3396 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 708/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 709/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 710/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 711/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4838 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 712/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4835 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 713/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4385
Epoch 714/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 715/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 716/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 717/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4838 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 718/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 719/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3405 - val_binary_accuracy: 0.8628 - val_auc: 0.7947 - val_pr: 0.4370
Epoch 720/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 721/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 722/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 723/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3405 - val_binary_accuracy: 0.8627 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 724/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 725/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 726/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 727/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4383
Epoch 728/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3403 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4374
Epoch 729/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4390
Epoch 730/1000
256/256 [==============================] - 40s 151ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 731/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 732/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4838 - val_loss: 0.3408 - val_binary_accuracy: 0.8628 - val_auc: 0.7949 - val_pr: 0.4371
Epoch 733/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 734/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7957 - val_pr: 0.4389
Epoch 735/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 736/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3226 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 737/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 738/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 739/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 740/1000
256/256 [==============================] - 40s 156ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 741/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 742/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 743/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 744/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3403 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 745/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 746/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 747/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3406 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4374
Epoch 748/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4836 - val_loss: 0.3399 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 749/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 750/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 751/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 752/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 753/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 754/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 755/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 756/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 757/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 758/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 759/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 760/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 761/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 762/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4837 - val_loss: 0.3411 - val_binary_accuracy: 0.8627 - val_auc: 0.7950 - val_pr: 0.4372
Epoch 763/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3398 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 764/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7948 - val_pr: 0.4371
Epoch 765/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 766/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7954 - val_pr: 0.4387
Epoch 767/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 768/1000
256/256 [==============================] - 44s 168ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 769/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 770/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7956 - val_pr: 0.4386
Epoch 771/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 772/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 773/1000
256/256 [==============================] - 39s 151ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 774/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3409 - val_binary_accuracy: 0.8628 - val_auc: 0.7949 - val_pr: 0.4372
Epoch 775/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7953 - val_pr: 0.4377
Epoch 776/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 777/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 778/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4837 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 779/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 780/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4840 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 781/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8672 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 782/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4381
Epoch 783/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 784/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3405 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4374
Epoch 785/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 786/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 787/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4373
Epoch 788/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4375
Epoch 789/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 790/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 791/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3225 - binary_accuracy: 0.8672 - auc: 0.8240 - pr: 0.4836 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 792/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 793/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4375
Epoch 794/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 795/1000
256/256 [==============================] - 42s 164ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4373
Epoch 796/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4378
Epoch 797/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 798/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 799/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 800/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 801/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4377
Epoch 802/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4386
Epoch 803/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 804/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 805/1000
256/256 [==============================] - 44s 165ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 806/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3415 - val_binary_accuracy: 0.8626 - val_auc: 0.7944 - val_pr: 0.4362
Epoch 807/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 808/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 809/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 810/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 811/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 812/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 813/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7948 - val_pr: 0.4371
Epoch 814/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4373
Epoch 815/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3410 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 816/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 817/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4380
Epoch 818/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3404 - val_binary_accuracy: 0.8628 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 819/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 820/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 821/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4384
Epoch 822/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3226 - binary_accuracy: 0.8672 - auc: 0.8238 - pr: 0.4834 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4374
Epoch 823/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 824/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 825/1000
256/256 [==============================] - 41s 155ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 826/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4837 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 827/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 828/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3406 - val_binary_accuracy: 0.8628 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 829/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 830/1000
256/256 [==============================] - 39s 146ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 831/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8240 - pr: 0.4839 - val_loss: 0.3410 - val_binary_accuracy: 0.8628 - val_auc: 0.7947 - val_pr: 0.4371
Epoch 832/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3225 - binary_accuracy: 0.8673 - auc: 0.8239 - pr: 0.4839 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7954 - val_pr: 0.4382
Epoch 833/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3410 - val_binary_accuracy: 0.8628 - val_auc: 0.7949 - val_pr: 0.4373
Epoch 834/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 835/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 836/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 837/1000
256/256 [==============================] - 38s 147ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 838/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 839/1000
256/256 [==============================] - 40s 155ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 840/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 841/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 842/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4382
Epoch 843/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 844/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 845/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7955 - val_pr: 0.4383
Epoch 846/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 847/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 848/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3411 - val_binary_accuracy: 0.8627 - val_auc: 0.7947 - val_pr: 0.4370
Epoch 849/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 850/1000
256/256 [==============================] - 38s 145ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 851/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3410 - val_binary_accuracy: 0.8628 - val_auc: 0.7949 - val_pr: 0.4373
Epoch 852/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 853/1000
256/256 [==============================] - 40s 150ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 854/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 855/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 856/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3416 - val_binary_accuracy: 0.8626 - val_auc: 0.7947 - val_pr: 0.4370
Epoch 857/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4838 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 858/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 859/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7955 - val_pr: 0.4385
Epoch 860/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 861/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 862/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3408 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 863/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 864/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 865/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 866/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 867/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 868/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4385
Epoch 869/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 870/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3399 - val_binary_accuracy: 0.8632 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 871/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 872/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4839 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 873/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 874/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 875/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4841 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 876/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3407 - val_binary_accuracy: 0.8628 - val_auc: 0.7948 - val_pr: 0.4370
Epoch 877/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 878/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3409 - val_binary_accuracy: 0.8628 - val_auc: 0.7949 - val_pr: 0.4374
Epoch 879/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 880/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 881/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 882/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4386
Epoch 883/1000
256/256 [==============================] - 43s 165ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4380
Epoch 884/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 885/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3407 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 886/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 887/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 888/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3396 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4388
Epoch 889/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 890/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7953 - val_pr: 0.4385
Epoch 891/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4839 - val_loss: 0.3405 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4379
Epoch 892/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 893/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3408 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4377
Epoch 894/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4380
Epoch 895/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3397 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 896/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 897/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3406 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4374
Epoch 898/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 899/1000
256/256 [==============================] - 39s 151ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 900/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 901/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 902/1000
256/256 [==============================] - 41s 154ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 903/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 904/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 905/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3409 - val_binary_accuracy: 0.8629 - val_auc: 0.7947 - val_pr: 0.4372
Epoch 906/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4379
Epoch 907/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4386
Epoch 908/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8241 - pr: 0.4840 - val_loss: 0.3408 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 909/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3401 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 910/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4383
Epoch 911/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3409 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 912/1000
256/256 [==============================] - 42s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 913/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3406 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 914/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3407 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 915/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3408 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4374
Epoch 916/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 917/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 918/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4376
Epoch 919/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 920/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 921/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4384
Epoch 922/1000
256/256 [==============================] - 41s 157ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 923/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3404 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 924/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 925/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3224 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3410 - val_binary_accuracy: 0.8629 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 926/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 927/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4378
Epoch 928/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4379
Epoch 929/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3406 - val_binary_accuracy: 0.8628 - val_auc: 0.7950 - val_pr: 0.4375
Epoch 930/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 931/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 932/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3405 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4374
Epoch 933/1000
256/256 [==============================] - 43s 164ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3404 - val_binary_accuracy: 0.8629 - val_auc: 0.7951 - val_pr: 0.4376
Epoch 934/1000
256/256 [==============================] - 43s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4844 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 935/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 936/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 937/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7950 - val_pr: 0.4378
Epoch 938/1000
256/256 [==============================] - 41s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 939/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3395 - val_binary_accuracy: 0.8632 - val_auc: 0.7955 - val_pr: 0.4387
Epoch 940/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4840 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 941/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3405 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4381
Epoch 942/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4379
Epoch 943/1000
256/256 [==============================] - 40s 153ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3402 - val_binary_accuracy: 0.8630 - val_auc: 0.7953 - val_pr: 0.4379
Epoch 944/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3403 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4381
Epoch 945/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 946/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3398 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 947/1000
256/256 [==============================] - 41s 156ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4841 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4382
Epoch 948/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4841 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 949/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4841 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4382
Epoch 950/1000
256/256 [==============================] - 43s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4841 - val_loss: 0.3401 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 951/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 952/1000
256/256 [==============================] - 41s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 953/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3404 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4380
Epoch 954/1000
256/256 [==============================] - 42s 157ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3398 - val_binary_accuracy: 0.8632 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 955/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4380
Epoch 956/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7953 - val_pr: 0.4383
Epoch 957/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4384
Epoch 958/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3399 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4385
Epoch 959/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3407 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 960/1000
256/256 [==============================] - 41s 158ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 961/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4843 - val_loss: 0.3397 - val_binary_accuracy: 0.8631 - val_auc: 0.7954 - val_pr: 0.4388
Epoch 962/1000
256/256 [==============================] - 42s 162ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4842 - val_loss: 0.3405 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 963/1000
256/256 [==============================] - 42s 160ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 964/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3405 - val_binary_accuracy: 0.8630 - val_auc: 0.7951 - val_pr: 0.4377
Epoch 965/1000
256/256 [==============================] - 43s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8242 - pr: 0.4841 - val_loss: 0.3409 - val_binary_accuracy: 0.8629 - val_auc: 0.7949 - val_pr: 0.4373
Epoch 966/1000
256/256 [==============================] - 43s 166ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4843 - val_loss: 0.3404 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 967/1000
256/256 [==============================] - 42s 161ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3400 - val_binary_accuracy: 0.8631 - val_auc: 0.7952 - val_pr: 0.4379
Epoch 968/1000
256/256 [==============================] - 42s 159ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3403 - val_binary_accuracy: 0.8630 - val_auc: 0.7950 - val_pr: 0.4376
Epoch 969/1000
256/256 [==============================] - 42s 163ms/step - loss: 0.3223 - binary_accuracy: 0.8673 - auc: 0.8243 - pr: 0.4842 - val_loss: 0.3402 - val_binary_accuracy: 0.8631 - val_auc: 0.7951 - val_pr: 0.4378
Epoch 00969: early stopping
8. Save training results...
=== Training completed! ===
Best model: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/train_out/E1000best_model.h5
Training history: /picb/bigdata/project/miaoyuanyuan/train/XChrom_test/XChrom/source/Tutorials/data/1_within_sample/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/1_within_sample/train_out/history.pickle. Load them with:

import pickle
with open('./data/1_within_sample/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.

[8]:

xc.pl.plot_train_history(
    history = history['history'],
    savefig = True,
    out_file = './data/1_within_sample/train_out/train_history_plot.pdf'
    )

../_images/Tutorials_1_Within-sample_19_0.png

6. Evaluate the Model Performance

Evaluate performance on cross-cell, cross-region, and cross-both predictions.
If save_pred=True, the prediction results will be saved as:
- 1_within_sample/eval_out/crosscell_pred.npy
- 1_within_sample/eval_out/crosspeak_pred.npy
- 1_within_sample/eval_out/crossboth_pred.npy
- 1_within_sample/eval_out/crosscell_impute.h5ad
- 1_within_sample/eval_out/denoise_impute.h5ad
If scatter_plot=True, the following relationships will be visualized and saved as PDF files in /1_within_sample/eval_out/:
- 1. auROC per cell vs. log-transformed peak counts per cell;
- 1. auPRC per cell vs. log-transformed peak counts per cell;
- 1. auROC per peak vs. log-transformed cell counts per peak;
- 1. auPRC per peak vs. log-transformed cell counts per peak.

[9]:

#### 1- calculate cross-cell auROC & auPRC
metrics1 = xc.tl.crosscell_aucprc(
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    input_folder='./data/1_within_sample/train_data',
    model_path='./data/1_within_sample/train_out/E1000best_model.h5',
    output_path='./data/1_within_sample/eval_out',
    cellembed_raw='X_pca',
    save_pred=True,
    scatter_plot=True
    )

2025-08-18 09:36:13.652973: 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.
2025-08-18 09:36:18.223823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 18781 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:31:00.0, compute capability: 8.6
2025-08-18 09:36:18.225618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:1 with 21186 MB memory:  -> device: 1, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:4b:00.0, compute capability: 8.6
2025-08-18 09:36:18.226034: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:2 with 21186 MB memory:  -> device: 2, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:98:00.0, compute capability: 8.6
2025-08-18 09:36:18.226421: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:3 with 321 MB memory:  -> device: 3, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:b1:00.0, compute capability: 8.6
2025-08-18 09:36:19.451998: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
2025-08-18 09:36:26.268729: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8800
2025-08-18 09:36:26.891604: I tensorflow/stream_executor/cuda/cuda_blas.cc:1760] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.

predction shape: (36282, 487)
Overall auROC: 0.8220, auPRC: 0.4839
Per-cell auROC: 0.7710, auPRC: 0.3707
Valid cells: 487
Per-peak auROC: 0.7522, auPRC: 0.3402
Valid peaks: 36282

../_images/Tutorials_1_Within-sample_21_2.png

../_images/Tutorials_1_Within-sample_21_3.png

[10]:

#### 2- calculate cross-peak auROC & auPRC
metrics2 = xc.tl.crosspeak_aucprc(
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    input_folder='./data/1_within_sample/train_data',
    model_path='./data/1_within_sample/train_out/E1000best_model.h5',
    output_path='./data/1_within_sample/eval_out',
    cellembed_raw='X_pca',
    save_pred=True,
    scatter_plot=True
    )

predction shape: (4031, 4391)
Overall auROC: 0.7944, auPRC: 0.4380
Per-cell auROC: 0.7330, auPRC: 0.3374
Valid cells: 4391
Per-peak auROC: 0.7323, auPRC: 0.2919
Valid peaks: 4031

../_images/Tutorials_1_Within-sample_22_1.png

../_images/Tutorials_1_Within-sample_22_2.png

[11]:

#### 3- calculate crossboth auROC & auPRC
metrics3 = xc.tl.crossboth_aucprc(
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    input_folder='./data/1_within_sample/train_data',
    model_path='./data/1_within_sample/train_out/E1000best_model.h5',
    output_path='./data/1_within_sample/eval_out',
    cellembed_raw='X_pca',
    save_pred=True,
    scatter_plot=True
    )

Overall auROC: 0.7964, auPRC: 0.4440
Per-cell auROC: 0.7324, auPRC: 0.3373
Valid cells: 487
Per-peak auROC: 0.7365, auPRC: 0.3236
Valid peaks: 4031

../_images/Tutorials_1_Within-sample_23_1.png

../_images/Tutorials_1_Within-sample_23_2.png

[12]:

#### 4- calculate crosscell ns & ls
metrics4 = xc.tl.crosscell_nsls(
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    input_folder='./data/1_within_sample/train_data',
    model_path='./data/1_within_sample/train_out/E1000best_model.h5',
    output_path='./data/1_within_sample/eval_out',
    cellembed_raw='X_pca',
    celltype='pc32_leiden',
    save_pred=True,
    plot_umap=True
    )

Converting adata.X to dense array. For large datasets, consider pre-computing and saving as sparse matrix.

/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)=0.5119,label score(100)=0.7537
neighbor score(50)=0.4533,label score(50)=0.8055
neighbor score(10)=0.2926,label score(10)=0.8669

../_images/Tutorials_1_Within-sample_24_3.png

NS and LS metrics are computed based on the predicted test data. If plot_umap=True, UMAP visualization of test cell predictions by XChrom will be displayed. In this plot: larger points denote test cells, while background points denote training cells.

[13]:

#### 5- calculate denoise ns & ls
metrics5 = xc.tl.denoise_nsls(
    cell_embedding_ad='./data/1_within_sample/m_brain_paired_rna.h5ad',
    input_folder='./data/1_within_sample/train_data',
    model_path='./data/1_within_sample/train_out/E1000best_model.h5',
    output_path='./data/1_within_sample/eval_out',
    cellembed_raw='X_pca',
    celltype='pc32_leiden',
    save_pred=True,
    plot_umap=True
    )

Converting adata.X to dense array. For large datasets, consider pre-computing and saving as sparse matrix.
Denoise done! denoise shape is: (40313, 4878)

/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)=0.5119,label score(100)=0.7515
neighbor score(50)=0.4508,label score(50)=0.7994
neighbor score(10)=0.2938,label score(10)=0.8547

../_images/Tutorials_1_Within-sample_26_3.png

NS and LS metrics are computed based on the denoised scATAC data. This visualization is generated after denoising the entire dataset, plot_umap=True will display UMAP results.