(a) | |||||
---|---|---|---|---|---|
Model | Kernel | Criterion | |||
RMSE | MAE | ICC | |||
RFTS | – | Train | 25.3 | 6.43 | 0.92 |
Test | 22.78 | 14.99 | 0.88 | ||
SVM | RBF | Train | 58.71 | 14.3 | 0.58 |
Test | 28.19 | 22.36 | 0.53 | ||
Polynomial | Train | 55.20 | 15.00 | 0.53 | |
Test | 239.00 | 91.20 | 0.09 | ||
Linear | Train | 53.60 | 13.00 | 0.53 | |
Test | 30.10 | 18.60 | 0.47 | ||
Sigmoid | Train | 63.90 | 17.30 | 0.43 | |
Test | 30.80 | 20.00 | 0.24 | ||
ANN | – | Train | 37.50 | 11.94 | 0.84 |
Test | 26.58 | 13.21 | 0.82 | ||
ARIMA | – | Train | 47.01 | 17.92 | 0.64 |
Test | 34.90 | 28.16 | 0.03 |
(b) | |||||
---|---|---|---|---|---|
Model | Sensitivity | Specificity | Criterion | ||
PPVa | NPVb | Total accuracy | |||
RF | |||||
Train | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Test | 0.804 | 0.964 | 0.974 | 0.750 | 0.865 |
SVM | |||||
Train | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Test | 0.848 | 0.964 | 0.975 | 0.794 | 0.892 |
ANN | |||||
Train | 0.962 | 0.940 | 0.828 | 0.977 | 0.948 |
Test | 0.862 | 0.904 | 0.833 | 0.922 | 0.889 |