Table 3.
Model | Regression performance on training dataset with 5-fold CV | Regression performance on validation dataset | ||||
---|---|---|---|---|---|---|
MAE | MSE | PCC | MAE | MSE | PCC | |
SVR | 2.239 | 8.088 | 0.768 | 2.731 | 12.668 | 0.621 |
MLPR | 2.309 | 8.300 | 0.765 | 2.838 | 13.611 | 0.577 |
Abbreviations: CV = Cross Validation; MAE = Mean Absolute Error; MLPR = Multi-Layer Perceptron Regression; MSE = Mean Squared Error; PCC = Pearson Correlation Coefficient; SVR = Support Vector Regression.