Summary of 19_Xgboost_SelectedFeatures
Extreme Gradient Boosting (Xgboost)
- n_jobs: 6
- objective: multi:softprob
- eta: 0.05
- 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
47.6 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.969952 | 0.967266 | 0.971924 | 0.981132 | 0.992337 | 0.997916 | 0.979863 | 0.980088 | 0.979955 | 0.0655859 |
| recall | 0.983347 | 0.964789 | 0.971429 | 0.989712 | 0.991252 | 0.975548 | 0.979863 | 0.979346 | 0.979863 | 0.0655859 |
| f1-score | 0.976603 | 0.966026 | 0.971676 | 0.985403 | 0.991794 | 0.986605 | 0.979863 | 0.979685 | 0.979875 | 0.0655859 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.979863 | 11720 | 11720 | 0.0655859 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2421 | 9 | 6 | 23 | 0 | 3 |
| Labeled as 1 | 2 | 1507 | 47 | 2 | 4 | 0 |
| Labeled as 2 | 9 | 41 | 1904 | 3 | 3 | 0 |
| Labeled as 3 | 14 | 1 | 1 | 1924 | 4 | 0 |
| Labeled as 4 | 6 | 0 | 1 | 8 | 1813 | 1 |
| Labeled as 5 | 44 | 0 | 0 | 1 | 3 | 1915 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
