Summary of 6_LightGBM_GoldenFeatures
LightGBM
- n_jobs: 6
- objective: multiclass
- num_leaves: 63
- learning_rate: 0.2
- feature_fraction: 0.5
- bagging_fraction: 1.0
- min_data_in_leaf: 10
- metric: custom
- custom_eval_metric_name: 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
21.4 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.971246 | 0.964676 | 0.973347 | 0.986161 | 0.993446 | 0.997923 | 0.981058 | 0.981133 | 0.981128 | 0.0623816 |
| recall | 0.987815 | 0.961588 | 0.968878 | 0.989712 | 0.994533 | 0.979114 | 0.981058 | 0.980273 | 0.981058 | 0.0623816 |
| f1-score | 0.97946 | 0.963129 | 0.971107 | 0.987933 | 0.993989 | 0.988429 | 0.981058 | 0.980675 | 0.981062 | 0.0623816 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.981058 | 11720 | 11720 | 0.0623816 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2432 | 7 | 2 | 19 | 1 | 1 |
| Labeled as 1 | 3 | 1502 | 49 | 3 | 4 | 1 |
| Labeled as 2 | 10 | 48 | 1899 | 1 | 1 | 1 |
| Labeled as 3 | 16 | 0 | 1 | 1924 | 3 | 0 |
| Labeled as 4 | 6 | 0 | 0 | 3 | 1819 | 1 |
| Labeled as 5 | 37 | 0 | 0 | 1 | 3 | 1922 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
