ML algorithm | Sensitivity | Specificity | Accuracy | Precision | F-Measure | AUC | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Without CT-SS | With CT-SS | Without CT-SS | With CT-SS | Without CT-SS | With CT-SS | Without CT-SS | With CT-SS | Without CT-SS | With CT-SS | Without CT-SS | With CT-SS | |
Decision tree | 0.979 | 0.984 | 0.844 | 0.849 | 0.912 | 0.917 | 0.863 | 0.867 | 0.917 | 0.922 | 0.931 | 0.939 |
SVM | 0.808 | 0.830 | 0.765 | 0.793 | 0.786 | 0.812 | 0.775 | 0.801 | 0.791 | 0.815 | 0.786 | 0.812 |
MLP | 0.979 | 0.984 | 0.895 | 0.911 | 0.937 | 0.948 | 0.903 | 0.917 | 0.940 | 0.950 | 0.962 | 0.970 |
kNN | 1.000 | 1.000 | 0.870 | 0.883 | 0.935 | 0.941 | 0.885 | 0.895 | 0.939 | 0.945 | 0.975 | 0.972 |