Classification on Wine Quality
0.984AWLogistic Regression
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Logistic RegressionMethod Subtype=Difference2026.03 | 0.984 | 0.999 | 0.998 | |
| Logistic RegressionMethod Subtype=Tree-based2026.03 | 0.984 | 0.999 | 0.997 | |
| Gradient Boosting ClassificationMethod Subtype=Multiclass2026.03 | 0.978 | 0.999 | 1 | |
| Logistic RegressionMethod Subtype=OVR2026.03 | 0.968 | 0.999 | 0.998 | |
| Gaussian Naïve BayesMethod Subtype=Multiclass2026.03 | 0.966 | 0.999 | 1 | |
| Gaussian Naïve BayesMethod Subtype=Difference2026.03 | 0.966 | 0.999 | 0.998 | |
| Gaussian Naïve BayesMethod Subtype=Tree-based2026.03 | 0.966 | 0.999 | 0.998 | |
| Gradient Boosting ClassificationMethod Subtype=Difference2026.03 | 0.959 | 0.999 | 0.976 | |
| Gradient Boosting ClassificationMethod Subtype=Tree-based2026.03 | 0.959 | 0.999 | 0.986 | |
| Logistic RegressionMethod Subtype=Ordered logit model2026.03 | 0.908 | 0.999 | 0.929 | |
| Ordered probit model2026.03 | 0.908 | 0.999 | 0.93 | |
| Support Vector ClassificationMethod Subtype=Difference2026.03 | 0.668 | 0.637 | 0.892 | |
| Support Vector ClassificationMethod Subtype=OVR2026.03 | 0.605 | 0.446 | 0.866 | |
| Support Vector ClassificationMethod Subtype=Tree-based2026.03 | 0.598 | 0.731 | 0.879 |