Classification on Car Evaluation
83.2Balanced AccuracyROSENaN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ROSENaNValidation=5-fold stratified cross-validation, Classifier=XGBoost (n_estimators=100, max_depth=4, learning_rate=0.1)2026.05 | 83.2 | 83.3 | 81.2 | 82.9 | 89.8 | |
| BaselineValidation=5-fold stratified cross-validation, Classifier=XGBoost (n_estimators=100, max_depth=4, learning_rate=0.1)2026.05 | 81.7 | 81.7 | 79.4 | 81.3 | 88.1 | |
| ADASYNNaNValidation=5-fold stratified cross-validation, Classifier=XGBoost (n_estimators=100, max_depth=4, learning_rate=0.1)2026.05 | 81.7 | 81.7 | 79.4 | 81.3 | 88.1 | |
| SMOTENaNValidation=5-fold stratified cross-validation, Classifier=XGBoost (n_estimators=100, max_depth=4, learning_rate=0.1)2026.05 | 80.8 | 80.8 | 78.4 | 80.3 | 87.9 |