Table 2.
R2 | MAD | MSE | RMSE | |
---|---|---|---|---|
Training | ||||
Multiple Linear Regression | 0.9363 | 2.9150 | 14.647 | 3.8271 |
Support Vector Regression | 0.8667 | 4.1965 | 30.636 | 5.5350 |
Bayesian Ridge Regression | 0.9345 | 2.9376 | 15.064 | 3.8813 |
Lasso Regression | 0.8652 | 4.1925 | 30.982 | 5.5661 |
Gradient Boosting Regression | 0.9737 | 1.4034 | 6.0335 | 2.4563 |
Testing | ||||
Multiple Linear Regression | 0.8649 | 3.8228 | 30.1042 | 5.4867 |
Support Vector Regression | 0.8417 | 4.4448 | 35.2690 | 5.9387 |
Bayesian Ridge Regression | 0.8727 | 3.6679 | 28.3670 | 5.3260 |
Lasso Regression | 0.8478 | 4.3360 | 33.9035 | 5.8226 |
Gradient Boosting Regression | 0.8625 | 3.8988 | 30.6367 | 5.5350 |
Horvath’s model | 0.8110 | 4.9441 | 41.1128 | 6.4119 |