Summary of 1_Default_Xgboost
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
17.6 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.757305 | 0.76361 | 0.773113 | 0.955914 | 0.978316 | 0.987243 | 0.86384 | 0.86925 | 0.86925 | 0.330851 |
| recall | 0.917386 | 0.780635 | 0.699803 | 0.935018 | 0.962963 | 0.887234 | 0.86384 | 0.86384 | 0.86384 | 0.330851 |
| f1-score | 0.829695 | 0.772029 | 0.734634 | 0.945351 | 0.970579 | 0.93457 | 0.86384 | 0.864476 | 0.864476 | 0.330851 |
| support | 6296 | 6296 | 6296 | 6296 | 6296 | 6296 | 0.86384 | 37776 | 37776 | 0.330851 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 5775.86 | 77.6326 | 205.726 | 114.508 | 56.2836 | 65.9877 |
| Labeled as 1 | 314.324 | 4914.88 | 1028.7 | 9.52496 | 28.5749 | 0 |
| Labeled as 2 | 408.992 | 1443.87 | 4405.96 | 30.9843 | 0 | 6.19685 |
| Labeled as 3 | 363.668 | 0 | 22.7292 | 5886.87 | 22.7292 | 0 |
| Labeled as 4 | 107.624 | 0 | 35.8746 | 89.6866 | 6062.81 | 0 |
| Labeled as 5 | 656.391 | 0 | 0 | 26.7915 | 26.7915 | 5586.03 |
Learning curves
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
