Algorithm | Metrics | Imbalance | Over-sampling | Under-sampling | |||
---|---|---|---|---|---|---|---|
70% | Fold 10 | 70% | Fold 10 | 70% | Fold 10 | ||
MLP | Accuracy | 84.41% | 85.21% | 88.29% | 97.22% | 84.31% | 79.41% |
MAE | 1.19 | 0.18 | 0.14 | 0.48 | 0.21 | 0.23 | |
Precision | 0.85 | 0.85 | 0.89 | 0.97 | 0.85 | 0.8 | |
Recall | 0.84 | 0.85 | 0.88 | 0.97 | 0.84 | 0.79 | |
F-Measure | 0.84 | 0.85 | 0.88 | 0.97 | 0.84 | 0.79 | |
SVM | Accuracy | 83.77% | 83.85% | 87.32% | 97.66% | 80.39% | 77.94% |
MAE | 0.16 | 0.16 | 0.12 | 0.02 | 0.19 | 0.22 | |
Precision | 0.85 | 0.84 | 0.89 | 0.98 | 0.81 | 0.80 | |
Recall | 0.84 | 0.84 | 0.87 | 0.98 | 0.80 | 0.87 | |
F-Measure | 0.83 | 0.83 | 0.87 | 0.98 | 0.80 | 0.78 | |
RF | Accuracy | 77.27% | 79.38% | 87.32% | 97.22% | 72.55% | 74.71% |
MAE | 0.29 | 0.28 | 0.28 | 0.21 | 0.38 | 0.37 | |
Precision | 0.81 | 0.83 | 0.88 | 0.97 | 0.76 | 0.79 | |
Recall | 0.77 | 0.79 | 0.86 | 0.97 | 0.72 | 0.74 | |
F-Measure | 0.73 | 0.76 | 0.86 | 0.97 | 0.72 | 0.74 | |
NB | Accuracy | 81.82% | 83.66% | 83.41% | 92.25% | 87.43% | 78.82% |
MAE | 0.20 | 0.19 | 0.18 | 0.11 | 0.22 | 0.23 | |
Precision | 0.82 | 0.85 | 0.86 | 0.92 | 0.79 | 0.79 | |
Recall | 0.82 | 0.84 | 0.83 | 0.92 | 0.78 | 0.79 | |
F-Measure | 0.81 | 0.83 | 0.83 | 0.92 | 0.78 | 0.79 | |
Voting | Accuracy | 85.06% | 84.44% | 88.29% | 97.22% | 81.37% | 78.82% |
MAE | 0.21 | 0.20 | 0.17 | 0.09 | 0.26 | 0.26 | |
Precision | 0.86 | 0.85 | 0.89 | 0.97 | 0.82 | 0.8 | |
Recall | 0.85 | 0.84 | 0.88 | 0.97 | 0.81 | 0.79 | |
F-Measure | 0.84 | 0.84 | 0.88 | 0.97 | 0.81 | 0.79 |