Algorithm | Metrics | Imbalance | Over-sampling | Under-sampling | |||
---|---|---|---|---|---|---|---|
70% | Fold 10 | 70% | Fold 10 | 70% | Fold 10 | ||
MLP | Accuracy | 84.17% | 84.19% | 82.05% | 87.69% | 90.08% | 84.33% |
MAE | 0.20 | 0.18 | 0.20 | 0.14 | 0.14 | 0.17 | |
Precision | 0.85 | 0.84 | 0.84 | 0.88 | 0.91 | 0.85 | |
Recall | 0.85 | 0.84 | 0.84 | 0.88 | 0.90 | 0.84 | |
F-Measure | 0.84 | 0.84 | 0.82 | 0.88 | 0.90 | 0.84 | |
SVM | Accuracy | 81.30% | 84.20% | 82.69% | 88.27% | 89.26% | 85.57% |
MAE | 0.19 | 0.16 | 0.17 | 0.11 | 0.11 | 0.14 | |
Precision | 0.82 | 0.85 | 0.84 | 0.89 | 0.90 | 0.87 | |
Recall | 0.81 | 0.84 | 0.83 | 0.88 | 0.89 | 0.86 | |
F-Measure | 0.81 | 0.84 | 0.83 | 0.88 | 0.89 | 0.86 | |
RF | Accuracy | 74.82% | 79.87% | 80.77% | 87.31% | 78.51% | 81.09% |
MAE | 0.82 | 0.83 | 0.86 | 0.89 | 0.85 | 0.85 | |
Precision | 0.82 | 0.83 | 0.86 | 0.89 | 0.85 | 0.85 | |
Recall | 0.75 | 0.80 | 0.81 | 0.87 | 0.79 | 0.81 | |
F-Measure | 0.73 | 0.79 | 0.80 | 0.87 | 0.77 | 0.81 | |
NB | Accuracy | 84.89% | 87.45% | 85.26% | 88.08% | 90.08% | 88.31% |
MAE | 0.17 | 0.15 | 0.15 | 0.13 | 0.12 | 0.14 | |
Precision | 0.85 | 0.87 | 0.85 | 0.88 | 0.90 | 0.89 | |
Recall | 0.85 | 0.87 | 0.85 | 0.88 | 0.90 | 0.88 | |
F-Measure | 0.85 | 0.87 | 0.85 | 0.88 | 0.90 | 0.88 | |
Voting | Accuracy | 84.17% | 84.89% | 84.44% | 88.65% | 88.43% | 86.07% |
MAE | 0.22 | 0.17 | 0.20 | 0.17 | 0.18 | 0.20 | |
Precision | 0.84 | 0.85 | 0.85 | 0.88 | 0.89 | 0.87 | |
Recall | 0.84 | 0.85 | 0.84 | 0.88 | 0.98 | 0.86 | |
F-Measure | 0.84 | 0.85 | 0.83 | 0.88 | 0.88 | 0.86 |