Classifiers | Metrics | Training accuracy | |||
---|---|---|---|---|---|
sensitivity | Specificity | Precision | Accuracy | ||
20% of features | |||||
KNN | 0.667 | 0.556 | 0.556 | 0.606 | 0.722 |
SVM | 0.733 | 0.611 | 0.611 | 0.667 | 0.639 |
RF | 0.600 | 0.444 | 0.474 | 0.515 | 0.722 |
NB | 0.533 | 0.833 | 0.727 | 0.697 | 0.583 |
40% of features | |||||
KNN | 0.733 | 0.556 | 0.579 | 0.636 | 0.778 |
SVM | 0.933 | 0.778 | 0.778 | 0.848 | 0.750 |
RF | 0.533 | 0.778 | 0.667 | 0.667 | 0.611 |
NB | 0.667 | 0.722 | 0.667 | 0.697 | 0.583 |