Classifiers | Metrics | Training accuracy | |||
---|---|---|---|---|---|
Sensitivity | Specificity | Precision | Accuracy | ||
10% of features | |||||
KNN | 0.833 | 0.667 | 0.800 | 0.769 | 0.810 |
SVM | 0.833 | 0.733 | 0.833 | 0.800 | 0.810 |
RF | 0.667 | 0.800 | 0.842 | 0.718 | 0.690 |
NB | 0.542 | 0.800 | 0.813 | 0.641 | 0.667 |
20% of features | |||||
KNN | 0.750 | 0.667 | 0.783 | 0.718 | 0.738 |
SVM | 0.875 | 0.600 | 0.778 | 0.769 | 0.738 |
RF | 0.458 | 0.933 | 0.917 | 0.641 | 0.690 |
NB | 0.500 | 0.867 | 0.857 | 0.641 | 0.667 |