Summary of Ensemble
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Ensemble structure
| Model |
Weight |
| 4_Default_Xgboost |
3 |
| 5_Default_NeuralNetwork |
1 |
Metric details
|
C1 |
C2 |
C3 |
C4 |
C5 |
nan |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
0.904762 |
0.901235 |
1 |
0.833333 |
1 |
0.833333 |
0.901408 |
0.912111 |
0.905867 |
0.249979 |
| recall |
0.883721 |
0.948052 |
0.285714 |
1 |
1 |
1 |
0.901408 |
0.852915 |
0.901408 |
0.249979 |
| f1-score |
0.894118 |
0.924051 |
0.444444 |
0.909091 |
1 |
0.909091 |
0.901408 |
0.846799 |
0.892965 |
0.249979 |
| support |
43 |
77 |
7 |
5 |
5 |
5 |
0.901408 |
142 |
142 |
0.249979 |
Confusion matrix
|
Predicted as C1 |
Predicted as C2 |
Predicted as C3 |
Predicted as C4 |
Predicted as C5 |
Predicted as nan |
| Labeled as C1 |
38 |
5 |
0 |
0 |
0 |
0 |
| Labeled as C2 |
4 |
73 |
0 |
0 |
0 |
0 |
| Labeled as C3 |
0 |
3 |
2 |
1 |
0 |
1 |
| Labeled as C4 |
0 |
0 |
0 |
5 |
0 |
0 |
| Labeled as C5 |
0 |
0 |
0 |
0 |
5 |
0 |
| Labeled as nan |
0 |
0 |
0 |
0 |
0 |
5 |
Learning curves
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