| SVM | Ensemble | KNN | LDA | Logistic regression | Decision tree | Naïve Bayes |
---|---|---|---|---|---|---|---|
TP | 39 | 42 | 37 | 41 | 40 | 40 | 11 |
TN | 29 | 24 | 31 | 22 | 22 | 27 | 37 |
FP | 8 | 13 | 6 | 15 | 15 | 10 | 0 |
FN | 4 | 1 | 6 | 2 | 3 | 3 | 32 |
Accuracy | 85 | 82.5 | 85 | 78.75 | 77.5 | 83.75 | 60 |
Sensitivity | 90.69767 | 97.67442 | 86.04651 | 95.34884 | 93.02326 | 93.02326 | 25.58 |
Specificity | 78.37838 | 64.86486 | 83.78378 | 59.45946 | 59.45946 | 72.97297 | 100 |
PositivePre | 82.97872 | 76.36364 | 86.04651 | 73.21429 | 72.72727 | 80 | 100 |
F1 | 86.66667 | 85.71429 | 86.04651 | 82.82828 | 81.63265 | 86.02151 | 40.75 |
FallOut | 21.62162 | 35.13514 | 16.21622 | 40.54054 | 40.54054 | 27.02703 | 0 |
MisRate | 9.302326 | 2.325581 | 13.95349 | 4.651163 | 6.976744 | 6.976744 | 74.42 |