Table 2.
Training Set | Test Set | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
MP | Score | r² | MAE | RMSE | RAE | RRSE | q² | MAE | RMSE | RAE | RRSE |
0.1 | 0.79 | 0.78 | 0.64 | 0.81 | 64 | 68 | 0.84 | 0.58 | 0.73 | 57 | 59 |
0.2 | 0.80 | 0.79 | 0.65 | 0.82 | 65 | 68 | 0.85 | 0.6 | 0.75 | 59 | 61 |
0.3 | 0.80 | 0.79 | 0.66 | 0.83 | 66 | 70 | 0.85 | 0.62 | 0.77 | 61 | 63 |
0.4 | 0.80 | 0.79 | 0.67 | 0.84 | 67 | 71 | 0.85 | 0.62 | 0.78 | 62 | 63 |
Note: MP = momentum parameter; r2 = correlation coefficient for the training set; q2 = correlation coefficient for the test set (r2pred); RMSE = root mean square error; MAE = mean absolute error; RAE = relative absolute error; RRSE = root relative squared error; score = (1 − |(r2 − q2)|) × q2.