GENE_FAMILY: E2F/DP

MODEL: FEEDFORWARD_k2

Model Architecture

Model: "FEEDFORWARD_k2"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ dense (Dense)                        │ (None, 256)                 │         113,152 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout (Dropout)                    │ (None, 256)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_1 (Dense)                      │ (None, 128)                 │          32,896 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_1 (Dropout)                  │ (None, 128)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_2 (Dense)                      │ (None, 64)                  │           8,256 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_2 (Dropout)                  │ (None, 64)                  │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_3 (Dense)                      │ (None, 32)                  │           2,080 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_3 (Dropout)                  │ (None, 32)                  │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_4 (Dense)                      │ (None, 1)                   │              33 │
└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘
 Total params: 469,253 (1.79 MB)
 Trainable params: 156,417 (611.00 KB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 312,836 (1.19 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       1781       50.35
0       1756       49.65

Additional Metrics

  • Total Samples: 3537
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9720    0.9886    0.9802       351
     Class 1     0.9886    0.9720    0.9802       357

    accuracy                         0.9802       708
   macro avg     0.9803    0.9803    0.9802       708
weighted avg     0.9804    0.9802    0.9802       708

Metrics

  • True Positives (TP): 347
  • True Negatives (TN): 347
  • False Positives (FP): 4
  • False Negatives (FN): 10

Confusion Matrix

Confusion Matrix
MODEL: FEEDFORWARD_k3

Model Architecture

Model: "FEEDFORWARD_k3"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ dense_5 (Dense)                      │ (None, 256)                 │       2,204,928 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_4 (Dropout)                  │ (None, 256)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_6 (Dense)                      │ (None, 128)                 │          32,896 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_5 (Dropout)                  │ (None, 128)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_7 (Dense)                      │ (None, 64)                  │           8,256 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_6 (Dropout)                  │ (None, 64)                  │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_8 (Dense)                      │ (None, 32)                  │           2,080 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_7 (Dropout)                  │ (None, 32)                  │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_9 (Dense)                      │ (None, 1)                   │              33 │
└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘
 Total params: 6,744,581 (25.73 MB)
 Trainable params: 2,248,193 (8.58 MB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 4,496,388 (17.15 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       1781       50.35
0       1756       49.65

Additional Metrics

  • Total Samples: 3537
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9887    0.9972    0.9929       351
     Class 1     0.9972    0.9888    0.9930       357

    accuracy                         0.9929       708
   macro avg     0.9929    0.9930    0.9929       708
weighted avg     0.9930    0.9929    0.9929       708

Metrics

  • True Positives (TP): 353
  • True Negatives (TN): 350
  • False Positives (FP): 1
  • False Negatives (FN): 4

Confusion Matrix

Confusion Matrix
MODEL: FEEDFORWARD_k4

Model Architecture

Model: "FEEDFORWARD_k4"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
│ dense_10 (Dense)                     │ (None, 256)                 │      33,791,232 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_8 (Dropout)                  │ (None, 256)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_11 (Dense)                     │ (None, 128)                 │          32,896 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_9 (Dropout)                  │ (None, 128)                 │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_12 (Dense)                     │ (None, 64)                  │           8,256 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dropout_10 (Dropout)                 │ (None, 64)                  │               0 │
├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
│ dense_13 (Dense)                     │ (None, 1)                   │              65 │
└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘
 Total params: 101,497,349 (387.18 MB)
 Trainable params: 33,832,449 (129.06 MB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 67,664,900 (258.12 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       1781       50.35
0       1756       49.65

Additional Metrics

  • Total Samples: 3537
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9750    1.0000    0.9873       351
     Class 1     1.0000    0.9748    0.9872       357

    accuracy                         0.9873       708
   macro avg     0.9875    0.9874    0.9873       708
weighted avg     0.9876    0.9873    0.9873       708

Metrics

  • True Positives (TP): 348
  • True Negatives (TN): 351
  • False Positives (FP): 0
  • False Negatives (FN): 9

Confusion Matrix

Confusion Matrix