Summary of 2_Xgboost_Stacked
Extreme Gradient Boosting (Xgboost)
- n_jobs: -1
- objective: multi:softprob
- eta: 0.075
- max_depth: 8
- min_child_weight: 5
- 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
18.1 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.733815 | 0.76316 | 0.770978 | 0.958804 | 0.978763 | 0.976803 | 0.857186 | 0.863721 | 0.863721 | 0.69563 |
| recall | 0.917694 | 0.750378 | 0.705709 | 0.920578 | 0.957265 | 0.891489 | 0.857186 | 0.857186 | 0.857186 | 0.69563 |
| f1-score | 0.815518 | 0.756715 | 0.736901 | 0.939302 | 0.967895 | 0.932199 | 0.857186 | 0.858088 | 0.858088 | 0.69563 |
| support | 6296 | 6296 | 6296 | 6296 | 6296 | 6296 | 0.857186 | 37776 | 37776 | 0.69563 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 5777.8 | 102.863 | 161.088 | 118.39 | 44.6387 | 91.2182 |
| Labeled as 1 | 438.148 | 4724.38 | 1095.37 | 19.0499 | 19.0499 | 0 |
| Labeled as 2 | 446.173 | 1363.31 | 4443.14 | 30.9843 | 6.19685 | 6.19685 |
| Labeled as 3 | 420.491 | 0 | 45.4585 | 5795.96 | 34.0939 | 0 |
| Labeled as 4 | 161.436 | 0 | 17.9373 | 53.812 | 6026.94 | 35.8746 |
| Labeled as 5 | 629.6 | 0 | 0 | 26.7915 | 26.7915 | 5612.82 |
Learning curves
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
