Summary of Ensemble
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Ensemble structure
| Model |
Weight |
| 4_Default_Xgboost |
5 |
| 6_Default_RandomForest |
1 |
Metric details
|
0 |
1 |
2 |
3 |
accuracy |
macro avg |
weighted avg |
logloss |
| precision |
0.444444 |
1 |
0.639539 |
0.662692 |
0.649019 |
0.686669 |
0.64099 |
0.758822 |
| recall |
0.0283688 |
0.0526316 |
0.723714 |
0.643241 |
0.649019 |
0.361989 |
0.649019 |
0.758822 |
| f1-score |
0.0533333 |
0.1 |
0.679027 |
0.652821 |
0.649019 |
0.371296 |
0.632593 |
0.758822 |
| support |
282 |
19 |
2682 |
2419 |
0.649019 |
5402 |
5402 |
0.758822 |
Confusion matrix
|
Predicted as 0 |
Predicted as 1 |
Predicted as 2 |
Predicted as 3 |
| Labeled as 0 |
8 |
0 |
221 |
53 |
| Labeled as 1 |
0 |
1 |
14 |
4 |
| Labeled as 2 |
6 |
0 |
1941 |
735 |
| Labeled as 3 |
4 |
0 |
859 |
1556 |
Learning curves
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