Models | Accuracy | Sensitivity | Specificity | Precision | ||||
---|---|---|---|---|---|---|---|---|
Mean | SE | Mean | SE | Mean | SE | Mean | SE | |
DT | 0.8845 | 0.017 | 0.8908 | 0.027 | 0.8639 | 0.076 | 0.9581 | 0.024 |
RF | 0.8929 | 0.014 | 0.8953 | 0.027 | 0.8853 | 0.075 | 0.9653 | 0.021 |
SVM (polynomial kernel) | 0.7782 | 0.035 | 0.8504 | 0.047 | 0.6047 | 0.065 | 0.8406 | 0.039 |
SVM (linear kernel) | 0.8054 | 0.039 | 0.8460 | 0.045 | 0.7188 | 0.172 | 0.8969 | 0.068 |
LR | 0.7723 | 0.037 | 0.8160 | 0.045 | 0.6175 | 0.094 | 0.8848 | 0.031 |