Table 2 Comparison of backbone method accuracy rates
| Â | Model | Accuracy |
|---|---|---|
5 | Ensemble | 0.905350 |
0 | Random Forest | 0.884774 |
3 | Logistic | 0.884774 |
4 | MLPClassifier | 0.872428 |
2 | SVM | 0.810700 |
1 | K-neighbors | 0.662551 |
| Â | Model | Accuracy |
|---|---|---|
5 | Ensemble | 0.905350 |
0 | Random Forest | 0.884774 |
3 | Logistic | 0.884774 |
4 | MLPClassifier | 0.872428 |
2 | SVM | 0.810700 |
1 | K-neighbors | 0.662551 |