Summary of 6_LightGBM_RandomFeature
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
27.9 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.972067 | 0.964607 | 0.972379 | 0.986674 | 0.993996 | 0.996878 | 0.981058 | 0.9811 | 0.981126 | 0.0913609 |
| recall | 0.989439 | 0.959667 | 0.969898 | 0.990226 | 0.995626 | 0.976057 | 0.981058 | 0.980152 | 0.981058 | 0.0913609 |
| f1-score | 0.980676 | 0.962131 | 0.971137 | 0.988447 | 0.99481 | 0.986358 | 0.981058 | 0.980593 | 0.981055 | 0.0913609 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.981058 | 11720 | 11720 | 0.0913609 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2436 | 7 | 1 | 14 | 1 | 3 |
| Labeled as 1 | 4 | 1499 | 53 | 3 | 3 | 0 |
| Labeled as 2 | 6 | 48 | 1901 | 3 | 2 | 0 |
| Labeled as 3 | 16 | 0 | 0 | 1925 | 1 | 2 |
| Labeled as 4 | 3 | 0 | 0 | 4 | 1821 | 1 |
| Labeled as 5 | 41 | 0 | 0 | 2 | 4 | 1916 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
