Summary of 2_Default_Xgboost_SelectedFeatures
Extreme Gradient Boosting (Xgboost)
- n_jobs: 6
- 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
38.2 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.969988 | 0.963555 | 0.972308 | 0.981614 | 0.991785 | 0.99792 | 0.979437 | 0.979528 | 0.979527 | 0.061113 |
| recall | 0.984565 | 0.964789 | 0.967347 | 0.988683 | 0.990159 | 0.977585 | 0.979437 | 0.978855 | 0.979437 | 0.061113 |
| f1-score | 0.977222 | 0.964171 | 0.969821 | 0.985136 | 0.990971 | 0.987648 | 0.979437 | 0.979162 | 0.97945 | 0.061113 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.979437 | 11720 | 11720 | 0.061113 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2424 | 7 | 3 | 25 | 0 | 3 |
| Labeled as 1 | 2 | 1507 | 47 | 1 | 5 | 0 |
| Labeled as 2 | 10 | 48 | 1896 | 2 | 4 | 0 |
| Labeled as 3 | 16 | 2 | 1 | 1922 | 3 | 0 |
| Labeled as 4 | 7 | 0 | 3 | 7 | 1811 | 1 |
| Labeled as 5 | 40 | 0 | 0 | 1 | 3 | 1919 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
