Model | Accuracy | Sensitivity | Specificity | F-measure | AUC |
Single Multivariate k-RNN | 96.36% | 37.5% | 98.58% | 54.33% | 68.04% |
k-RNN based on balanced dataset | 92% | 92.86% | 83.33% | 87.84% | 88.10% |
REKRNN | 92.27% | 92.86% | 92.23% | 92.54% | 92.55% |
Adaboost | 96.17% | 28.6% | 98.86% | 44.37% | 50% |
KNN | 93.89% | 14.29% | 97.16% | 24.92% | 55.72% |