diff --git "a/Train-Reports/NZZ__SPL/report_WT4TKB1V.html" "b/Train-Reports/NZZ__SPL/report_WT4TKB1V.html" new file mode 100644--- /dev/null +++ "b/Train-Reports/NZZ__SPL/report_WT4TKB1V.html" @@ -0,0 +1,265 @@ + + + + GENE_FAMILY: NZZ/SPL + + + +
+

GENE_FAMILY: NZZ/SPL

+
+ +
+
MODEL: FEEDFORWARD_k2
+
+
+

Model Architecture

+ 
Model: "FEEDFORWARD_k2"
+┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
+┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
+┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
+│ dense (Dense)                        │ (None, 256)                 │         109,312 │
+├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
+│ 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: 457,733 (1.75 MB)
+ Trainable params: 152,577 (596.00 KB)
+ Non-trainable params: 0 (0.00 B)
+ Optimizer params: 305,156 (1.16 MB)
+
+
+
+

Learning Curve

+ Learning Curve +
+
+
+
+

Class Distribution

+ 
       Count  Percentage
+class                   
+0        112       50.68
+1        109       49.32
+

Additional Metrics

+
    +
  • Total Samples: 221
    • +
  • Imbalance Ratio: 1.03
    • +
+
+
+

Classification Report

+ 
              precision    recall  f1-score   support
+
+     Class 0     0.9565    0.9565    0.9565        23
+     Class 1     0.9545    0.9545    0.9545        22
+
+    accuracy                         0.9556        45
+   macro avg     0.9555    0.9555    0.9555        45
+weighted avg     0.9556    0.9556    0.9556        45
+
+

Metrics

+
+
    +
  • True Positives (TP): 21
    • +
  • True Negatives (TN): 22
    • +
+
    +
  • False Positives (FP): 1
    • +
  • False Negatives (FN): 1
    • +
+
+
+
+

Confusion Matrix

+ Confusion Matrix +
+
+
+ +
+
MODEL: FEEDFORWARD_k3
+
+
+

Model Architecture

+ 
Model: "FEEDFORWARD_k3"
+┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
+┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
+┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
+│ dense_5 (Dense)                      │ (None, 256)                 │       1,942,016 │
+├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
+│ 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: 5,955,845 (22.72 MB)
+ Trainable params: 1,985,281 (7.57 MB)
+ Non-trainable params: 0 (0.00 B)
+ Optimizer params: 3,970,564 (15.15 MB)
+
+
+
+

Learning Curve

+ Learning Curve +
+
+
+
+

Class Distribution

+ 
       Count  Percentage
+class                   
+0        112       50.68
+1        109       49.32
+

Additional Metrics

+
    +
  • Total Samples: 221
    • +
  • Imbalance Ratio: 1.03
    • +
+
+
+

Classification Report

+ 
              precision    recall  f1-score   support
+
+     Class 0     0.8846    1.0000    0.9388        23
+     Class 1     1.0000    0.8636    0.9268        22
+
+    accuracy                         0.9333        45
+   macro avg     0.9423    0.9318    0.9328        45
+weighted avg     0.9410    0.9333    0.9329        45
+
+

Metrics

+
+
    +
  • True Positives (TP): 19
    • +
  • True Negatives (TN): 23
    • +
+
    +
  • False Positives (FP): 0
    • +
  • False Negatives (FN): 3
    • +
+
+
+
+

Confusion Matrix

+ Confusion Matrix +
+
+
+ +
+
MODEL: FEEDFORWARD_k4
+
+
+

Model Architecture

+ 
Model: "FEEDFORWARD_k4"
+┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓
+┃ Layer (type)                         ┃ Output Shape                ┃         Param # ┃
+┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩
+│ dense_10 (Dense)                     │ (None, 256)                 │      11,344,128 │
+├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤
+│ 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: 34,156,037 (130.29 MB)
+ Trainable params: 11,385,345 (43.43 MB)
+ Non-trainable params: 0 (0.00 B)
+ Optimizer params: 22,770,692 (86.86 MB)
+
+
+
+

Learning Curve

+ Learning Curve +
+
+
+
+

Class Distribution

+ 
       Count  Percentage
+class                   
+0        112       50.68
+1        109       49.32
+

Additional Metrics

+
    +
  • Total Samples: 221
    • +
  • Imbalance Ratio: 1.03
    • +
+
+
+

Classification Report

+ 
              precision    recall  f1-score   support
+
+     Class 0     1.0000    1.0000    1.0000        23
+     Class 1     1.0000    1.0000    1.0000        22
+
+    accuracy                         1.0000        45
+   macro avg     1.0000    1.0000    1.0000        45
+weighted avg     1.0000    1.0000    1.0000        45
+
+

Metrics

+
+
    +
  • True Positives (TP): 22
    • +
  • True Negatives (TN): 23
    • +
+
    +
  • False Positives (FP): 0
    • +
  • False Negatives (FN): 0
    • +
+
+
+
+

Confusion Matrix

+ Confusion Matrix +
+
+
+ + + + \ No newline at end of file