Summary of 13_LightGBM_SelectedFeatures
LightGBM
- n_jobs: 6
- objective: multiclass
- num_leaves: 31
- 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
19.9 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.970577 | 0.966645 | 0.972393 | 0.990241 | 0.995604 | 0.99844 | 0.982082 | 0.982317 | 0.982191 | 0.0551702 |
| recall | 0.99147 | 0.964789 | 0.970408 | 0.99177 | 0.990705 | 0.978095 | 0.982082 | 0.981206 | 0.982082 | 0.0551702 |
| f1-score | 0.980912 | 0.965716 | 0.971399 | 0.991005 | 0.993149 | 0.988163 | 0.982082 | 0.981724 | 0.982094 | 0.0551702 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.982082 | 11720 | 11720 | 0.0551702 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2441 | 7 | 2 | 11 | 0 | 1 |
| Labeled as 1 | 4 | 1507 | 49 | 0 | 2 | 0 |
| Labeled as 2 | 9 | 45 | 1902 | 2 | 1 | 1 |
| Labeled as 3 | 13 | 0 | 1 | 1928 | 2 | 0 |
| Labeled as 4 | 9 | 0 | 2 | 5 | 1812 | 1 |
| Labeled as 5 | 39 | 0 | 0 | 1 | 3 | 1920 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
