Rank | Method | MCC | BA | BM | MK | TPR | TNR | PPV | NPV |
---|---|---|---|---|---|---|---|---|---|
 | MCC ranking: | ||||||||
1 | Decision Tree | 0.447 | 0.715 | 0.429 | 0.477 | 0.728 | 0.701 | 0.774 | 0.702 |
2 | Radial SVM | 0.423 | 0.695 | 0.390 | 0.517 | 0.891 | 0.498 | 0.754 | 0.726 |
3 | k-Nearest Neighbors | 0.418 | 0.706 | 0.412 | 0.443 | 0.887 | 0.525 | 0.826 | 0.617 |
4 | Naïve Bayes | 0.408 | 0.722 | 0.444 | 0.375 | 0.778 | 0.667 | 0.875 | 0.500 |
 | BA ranking: | ||||||||
1 | Naïve Bayes | 0.408 | 0.722 | 0.444 | 0.375 | 0.778 | 0.667 | 0.875 | 0.500 |
2 | Decision Tree | 0.447 | 0.715 | 0.429 | 0.477 | 0.728 | 0.701 | 0.774 | 0.702 |
3 | k-Nearest Neighbors | 0.418 | 0.706 | 0.412 | 0.443 | 0.887 | 0.525 | 0.826 | 0.617 |
4 | Radial SVM | 0.423 | 0.695 | 0.390 | 0.517 | 0.891 | 0.498 | 0.754 | 0.726 |
 | BM ranking: | ||||||||
1 | Naïve Bayes | 0.408 | 0.722 | 0.444 | 0.375 | 0.778 | 0.667 | 0.875 | 0.500 |
2 | Decision Tree | 0.447 | 0.715 | 0.429 | 0.477 | 0.728 | 0.701 | 0.774 | 0.702 |
3 | k-Nearest Neighbors | 0.418 | 0.706 | 0.412 | 0.443 | 0.887 | 0.525 | 0.826 | 0.617 |
4 | Radial SVM | 0.423 | 0.695 | 0.390 | 0.517 | 0.891 | 0.498 | 0.754 | 0.726 |
 | MK ranking: | ||||||||
1 | Radial SVM | 0.423 | 0.695 | 0.390 | 0.517 | 0.891 | 0.498 | 0.754 | 0.726 |
2 | Decision Tree | 0.447 | 0.715 | 0.429 | 0.477 | 0.728 | 0.701 | 0.774 | 0.702 |
3 | k-Nearest Neighbors | 0.418 | 0.706 | 0.412 | 0.443 | 0.887 | 0.525 | 0.826 | 0.617 |
4 | Naïve Bayes | 0.408 | 0.722 | 0.444 | 0.375 | 0.778 | 0.667 | 0.875 | 0.500 |