Summary of Ensemble
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Ensemble structure
Model |
Weight |
3_Default_Xgboost |
3 |
Metric details
|
1 |
2 |
3 |
4 |
accuracy |
macro avg |
weighted avg |
logloss |
precision |
0.738655 |
0.393701 |
0.517142 |
0.664934 |
0.677055 |
0.578608 |
0.665338 |
0.736726 |
recall |
0.819267 |
0.0763359 |
0.458727 |
0.654 |
0.677055 |
0.502083 |
0.677055 |
0.736726 |
f1-score |
0.776875 |
0.127877 |
0.486186 |
0.659422 |
0.677055 |
0.51259 |
0.66722 |
0.736726 |
support |
10391 |
655 |
3913 |
9974 |
0.677055 |
24933 |
24933 |
0.736726 |
Confusion matrix
|
Predicted as 1 |
Predicted as 2 |
Predicted as 3 |
Predicted as 4 |
Labeled as 1 |
8513 |
4 |
313 |
1561 |
Labeled as 2 |
86 |
50 |
382 |
137 |
Labeled as 3 |
473 |
56 |
1795 |
1589 |
Labeled as 4 |
2453 |
17 |
981 |
6523 |
Learning curves
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