Table 7. Experimental results of machine learning classifiers.
Classifier | Original Data | Down-Sampled Data | ||||||
---|---|---|---|---|---|---|---|---|
Accuracy | Precision | Recall | F1 | Accuracy | Precision | Recall | F1 | |
RF | 0.98 | 0.97 | 0.94 | 0.95 | 0.97 | 0.98 | 0.97 | 0.97 |
GBM | 0.97 | 0.92 | 0.94 | 0.93 | 0.95 | 0.95 | 0.95 | 0.95 |
AdaBoost | 0.88 | 0.72 | 0.69 | 0.66 | 0.94 | 0.94 | 0.94 | 0.94 |
LR | 0.86 | 0.52 | 0.40 | 0.43 | 0.89 | 0.88 | 0.88 | 0.88 |
SVC | 0.83 | 0.17 | 0.20 | 0.18 | 0.93 | 0.93 | 0.92 | 0.92 |