Summary of 1_Default_Xgboost_GoldenFeatures_Stacked
Extreme Gradient Boosting (Xgboost)
- n_jobs: -1
- objective: multi:softprob
- eta: 0.075
- max_depth: 6
- 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
14.1 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.764518 | 0.742913 | 0.811988 | 0.949332 | 0.976795 | 0.968474 | 0.864058 | 0.869004 | 0.869004 | 0.876218 |
| recall | 0.899199 | 0.813918 | 0.668307 | 0.935018 | 0.957265 | 0.910638 | 0.864058 | 0.864058 | 0.864058 | 0.876218 |
| f1-score | 0.826407 | 0.776796 | 0.733175 | 0.942121 | 0.966932 | 0.938666 | 0.864058 | 0.864016 | 0.864016 | 0.876218 |
| support | 6296 | 6296 | 6296 | 6296 | 6296 | 6296 | 0.864058 | 37776 | 37776 | 0.876218 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 5661.35 | 112.567 | 207.667 | 157.206 | 48.5203 | 108.686 |
| Labeled as 1 | 409.573 | 5124.43 | 723.897 | 9.52496 | 28.5749 | 0 |
| Labeled as 2 | 371.811 | 1660.76 | 4207.66 | 30.9843 | 18.5906 | 6.19685 |
| Labeled as 3 | 363.668 | 0 | 11.3646 | 5886.87 | 34.0939 | 0 |
| Labeled as 4 | 89.6866 | 0 | 17.9373 | 89.6866 | 6026.94 | 71.7493 |
| Labeled as 5 | 509.038 | 0 | 13.3957 | 26.7915 | 13.3957 | 5733.38 |
Learning curves
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
