Summary of 1_Default_Xgboost_RandomFeature
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
19.1 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.752502 | 0.771945 | 0.771988 | 0.957716 | 0.978546 | 0.988859 | 0.864249 | 0.870259 | 0.870259 | 0.327912 |
| recall | 0.923551 | 0.771558 | 0.712598 | 0.936823 | 0.960114 | 0.880851 | 0.864249 | 0.864249 | 0.864249 | 0.327912 |
| f1-score | 0.829298 | 0.771751 | 0.741105 | 0.947154 | 0.969242 | 0.931736 | 0.864249 | 0.865048 | 0.865048 | 0.327912 |
| support | 6296 | 6296 | 6296 | 6296 | 6296 | 6296 | 0.864249 | 37776 | 37776 | 0.327912 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 5814.68 | 71.8101 | 190.2 | 110.626 | 52.402 | 56.2836 |
| Labeled as 1 | 323.849 | 4857.73 | 1076.32 | 9.52496 | 28.5749 | 0 |
| Labeled as 2 | 402.795 | 1363.31 | 4486.52 | 37.1811 | 0 | 6.19685 |
| Labeled as 3 | 363.668 | 0 | 22.7292 | 5898.24 | 11.3646 | 0 |
| Labeled as 4 | 125.561 | 0 | 35.8746 | 89.6866 | 6044.88 | 0 |
| Labeled as 5 | 696.579 | 0 | 0 | 13.3957 | 40.1872 | 5545.84 |
Learning curves
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
