GENE_FAMILY: AP2

MODEL: FEEDFORWARD_k2

Model Architecture

Model: "FEEDFORWARD_k2"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ dense (Dense)                   │ (None, 256)            │        51,456 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ 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: 284,165 (1.08 MB)
 Trainable params: 94,721 (370.00 KB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 189,444 (740.02 KB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       3569       50.16
0       3546       49.84

Additional Metrics

  • Total Samples: 7115
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9739    0.9684    0.9712       887
     Class 1     0.9688    0.9742    0.9715       892

    accuracy                         0.9713      1779
   macro avg     0.9714    0.9713    0.9713      1779
weighted avg     0.9713    0.9713    0.9713      1779

Metrics

  • True Positives (TP): 869
  • True Negatives (TN): 859
  • False Positives (FP): 28
  • False Negatives (FN): 23

Confusion Matrix

Confusion Matrix
MODEL: FEEDFORWARD_k3

Model Architecture

Model: "FEEDFORWARD_k3"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ dense_5 (Dense)                 │ (None, 256)            │       256,256 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ 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: 898,565 (3.43 MB)
 Trainable params: 299,521 (1.14 MB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 599,044 (2.29 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       3569       50.16
0       3546       49.84

Additional Metrics

  • Total Samples: 7115
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9761    0.9684    0.9723       887
     Class 1     0.9689    0.9765    0.9726       892

    accuracy                         0.9725      1779
   macro avg     0.9725    0.9724    0.9725      1779
weighted avg     0.9725    0.9725    0.9725      1779

Metrics

  • True Positives (TP): 871
  • True Negatives (TN): 859
  • False Positives (FP): 28
  • False Negatives (FN): 21

Confusion Matrix

Confusion Matrix
MODEL: FEEDFORWARD_k4

Model Architecture

Model: "FEEDFORWARD_k4"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ dense_10 (Dense)                │ (None, 256)            │       256,256 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ 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: 892,421 (3.40 MB)
 Trainable params: 297,473 (1.13 MB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 594,948 (2.27 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       3569       50.16
0       3546       49.84

Additional Metrics

  • Total Samples: 7115
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9629    0.9944    0.9784       887
     Class 1     0.9942    0.9619    0.9778       892

    accuracy                         0.9781      1779
   macro avg     0.9785    0.9781    0.9781      1779
weighted avg     0.9786    0.9781    0.9781      1779

Metrics

  • True Positives (TP): 858
  • True Negatives (TN): 882
  • False Positives (FP): 5
  • False Negatives (FN): 34

Confusion Matrix

Confusion Matrix
MODEL: FEEDFORWARD_k5

Model Architecture

Model: "FEEDFORWARD_k5"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓
┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩
│ dense_14 (Dense)                │ (None, 512)            │       512,512 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dropout_11 (Dropout)            │ (None, 512)            │             0 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dense_15 (Dense)                │ (None, 128)            │        65,664 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dropout_12 (Dropout)            │ (None, 128)            │             0 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dense_16 (Dense)                │ (None, 64)             │         8,256 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dropout_13 (Dropout)            │ (None, 64)             │             0 │
├─────────────────────────────────┼────────────────────────┼───────────────┤
│ dense_17 (Dense)                │ (None, 1)              │            65 │
└─────────────────────────────────┴────────────────────────┴───────────────┘
 Total params: 1,759,493 (6.71 MB)
 Trainable params: 586,497 (2.24 MB)
 Non-trainable params: 0 (0.00 B)
 Optimizer params: 1,172,996 (4.47 MB)

Learning Curve

Learning Curve

Class Distribution

       Count  Percentage
class                   
1       3569       50.16
0       3546       49.84

Additional Metrics

  • Total Samples: 7115
  • Imbalance Ratio: 1.01

Classification Report

              precision    recall  f1-score   support

     Class 0     0.9582    0.9831    0.9705       887
     Class 1     0.9827    0.9574    0.9699       892

    accuracy                         0.9702      1779
   macro avg     0.9705    0.9702    0.9702      1779
weighted avg     0.9705    0.9702    0.9702      1779

Metrics

  • True Positives (TP): 854
  • True Negatives (TN): 872
  • False Positives (FP): 15
  • False Negatives (FN): 38

Confusion Matrix

Confusion Matrix