Table 3 The r-squared and RMSE values for each type of regression model that was tested to select the best performing model (highlighted in bold) to be the mammalian model
Regression model | RMSE | R-squared |
|---|---|---|
General linear | 16.413 | 0.775 |
Elastic net | 16.520 | 0.773 |
K-nearest neighbors | 13.615 | 0.840 |
Random forest | 12.697 | 0.860 |
SVM (linear) | 17.190 | 0.774 |
SVM (polynomial) | 14.363 | 0.843 |