Table 4.
Comparison results of our predictor with other four common regression models on rheumatoid arthritis dataset.
| R2 | MAD | MSE | RMSE | |
|---|---|---|---|---|
| Training | ||||
| Multiple Linear Regression | 0.922834 | 2.477032 | 11.16546 | 3.341476 |
| Support Vector Regression | 0.866253 | 3.439445 | 19.35249 | 4.399147 |
| Bayesian Ridge Regression | 0.919139 | 2.564907 | 11.70018 | 3.420553 |
| Lasso Regression | 0.856411 | 3.625878 | 20.77659 | 4.558135 |
| Gradient Boosting Regression | 0.985262 | 0.625448 | 2.132504 | 1.460310 |
| Testing | ||||
| Multiple Linear Regression | 0.886814 | 3.242406 | 16.46903 | 4.058205 |
| Support Vector Regression | 0.862663 | 3.582393 | 19.98303 | 4.470239 |
| Bayesian Ridge Regression | 0.899453 | 3.064368 | 14.62997 | 3.824914 |
| Lasso Regression | 0.856548 | 3.780038 | 20.87289 | 4.568686 |
| Gradient Boosting Regression | 0.895673 | 3.114274 | 15.18006 | 3.896159 |