Table 2.
Comparison analysis by varying feature selection techniques and classifiers.
| Techniques |
 (%) |
 (%) |
 (%) |
 (%) |
|---|---|---|---|---|
| DT without feature selection | 78.3 | 76.4 | 72.7 | 74.5 |
| k-NN without feature selection | 80.2 | 79.3 | 74.6 | 76.87 |
| SVM without feature selection | 83.4 | 81.7 | 76.1 | 78.8 |
| RF without feature selection | 86.3 | 83.4 | 81.8 | 82.59 |
| Chi-Square + RF | 92.4 | 90.8 | 88.4 | 89.58 |
| ANOVA + RF | 94.2 | 91.9 | 90.2 | 91.04 |
| Chi-Square + ANOVA + RF | 97.6 | 96.9 | 95.6 | 96.24 |
| EEFOA + RF | 98.8 | 98.3 | 98.1 | 98.19 |
| LASSO + RF | 96.3 | 94.1 | 94.4 | 94.24 |
| XGBoost + RF | 97.2 | 96.4 | 95.3 | 95.84 |
| Chi-Square + SVM | 94.2 | 89.3 | 87.3 | 88.28 |
| ANOVA + SVM | 95.7 | 90.1 | 88.11 | 89.09 |
| Chi-Square + ANOVA + SVM | 96.8 | 95.6 | 92.8 | 94.17 |
| EEFOA + SVM | 97.9 | 97.9 | 96.7 | 97.29 |
| LASSO + SVM | 95.4 | 92.1 | 91.2 | 91.64 |
| XGBoost + SVM | 97.2 | 95.5 | 94.8 | 95.14 |
| Chi-Square + K-NN | 90.6 | 86.9 | 83.6 | 85.21 |
| ANOVA + K-NN | 91.8 | 88.1 | 85.3 | 86.67 |
| Chi-Square + ANOVA + K-NN | 93.6 | 90.4 | 87.9 | 89.13 |
| EEFOA + K-NN | 96.8 | 91.6 | 89.7 | 90.64 |
| LASSO + K-NN | 94.8 | 89.6 | 86.8 | 88.17 |
| XGBoost + K-NN | 96.4 | 94.7 | 91.7 | 93.17 |
| Chi-Square + DT | 86.8 | 85.7 | 83.47 | 84.57 |
| ANOVA + DT | 89.4 | 87.6 | 85.69 | 86.63 |
| Chi-Square + ANOVA + DT | 91.2 | 88.3 | 87.65 | 87.97 |
| EEFOA + DT | 94.8 | 92.6 | 91.7 | 92.14 |
| LASSO + DT | 92.9 | 90.4 | 88.9 | 89.64 |
| XGBoost + DT | 93.7 | 91.8 | 89.62 | 90.69 |