Table 3.
Maximum accuracy for classification methods.
| Models | Maximum accuracy (%) | Number of features for maximum accuracy |
|---|---|---|
| Random forest | 68.6 | 44 |
| MLP | 59.38 | 58 |
| XG Boost | 72.43 | 40 |
| Logistic regression | 56.74 | 50 |
| SVM | 66.95 | 49 |
| KNN | 53.28 | 3 |
| Decision trees | 52.23 | 5 |