Open Access
Table 6
The proposed model has the best performance for all evaluation metrics.
| LDA | RCCV | ETC | RFC | XGBoost | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Metric | Tuned | Default | Tuned | Default | Tuned | Defaul | Tuned | Default | Tuned | Default |
| Precision | 0.882 | 0.831 | 0.841 | 0.801 | 0.860 | 0.831 | 0.931 | 0.842 | 0.936 | 0.852 |
| Recall | 0.879 | 0.829 | 0.843 | 0.80 | 0.857 | 0.829 | 0.921 | 0.829 | 0.936 | 0.843 |
| F1-score | 0.880 | 0.829 | 0.838 | 0.799 | 0.856 | 0.829 | 0.923 | 0.830 | 0.936 | 0.843 |
| Train ACC | 0.927 | 0.946 | 0.884 | 0.895 | 0.986 | 0.10 | 0.998 | 0.10 | 0.993 | 0.10 |
| Test ACC | 0.879 | 0.829 | 0.843 | 0.80 | 0.857 | 0.829 | 0.921 | 0.829 | 0.936 | 0.843 |
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