Summary of 20_Xgboost_SelectedFeatures
Extreme Gradient Boosting (Xgboost)
- n_jobs: 6
- objective: multi:softprob
- eta: 0.1
- max_depth: 5
- min_child_weight: 1
- subsample: 1.0
- colsample_bytree: 1.0
- eval_metric: f1
- num_class: 6
- explain_level: 1
Validation
- validation_type: kfold
- k_folds: 5
- shuffle: True
- stratify: True
- random_seed: 42
Optimized metric
f1
Training time
36.5 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.971566 | 0.967804 | 0.969913 | 0.984151 | 0.99018 | 0.997917 | 0.980119 | 0.980255 | 0.980194 | 0.0591794 |
| recall | 0.985378 | 0.962228 | 0.970408 | 0.990226 | 0.992346 | 0.976057 | 0.980119 | 0.97944 | 0.980119 | 0.0591794 |
| f1-score | 0.978423 | 0.965008 | 0.970161 | 0.987179 | 0.991262 | 0.986866 | 0.980119 | 0.979816 | 0.980123 | 0.0591794 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.980119 | 11720 | 11720 | 0.0591794 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2426 | 7 | 6 | 20 | 0 | 3 |
| Labeled as 1 | 2 | 1503 | 50 | 1 | 6 | 0 |
| Labeled as 2 | 9 | 42 | 1902 | 3 | 4 | 0 |
| Labeled as 3 | 13 | 1 | 1 | 1925 | 4 | 0 |
| Labeled as 4 | 4 | 0 | 2 | 7 | 1815 | 1 |
| Labeled as 5 | 43 | 0 | 0 | 0 | 4 | 1916 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
