Summary of 2_Xgboost_GoldenFeatures
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
18.0 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.740733 | 0.771806 | 0.776653 | 0.964051 | 0.97591 | 0.991523 | 0.863051 | 0.870113 | 0.870113 | 0.530179 |
| recall | 0.923551 | 0.76702 | 0.714567 | 0.935018 | 0.965812 | 0.87234 | 0.863051 | 0.863051 | 0.863051 | 0.530179 |
| f1-score | 0.822101 | 0.769406 | 0.744318 | 0.949313 | 0.970835 | 0.928121 | 0.863051 | 0.864015 | 0.864015 | 0.530179 |
| support | 6296 | 6296 | 6296 | 6296 | 6296 | 6296 | 0.863051 | 37776 | 37776 | 0.530179 |
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 | 89.2774 | 186.318 | 108.686 | 56.2836 | 40.7571 |
| Labeled as 1 | 333.374 | 4829.16 | 1066.8 | 28.5749 | 38.0998 | 0 |
| Labeled as 2 | 439.976 | 1338.52 | 4498.91 | 6.19685 | 6.19685 | 6.19685 |
| Labeled as 3 | 363.668 | 0 | 22.7292 | 5886.87 | 22.7292 | 0 |
| Labeled as 4 | 161.436 | 0 | 17.9373 | 35.8746 | 6080.75 | 0 |
| Labeled as 5 | 736.766 | 0 | 0 | 40.1872 | 26.7915 | 5492.26 |
Learning curves
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
