Accuracy | Sensitivity | Specificity | AUC | |
---|---|---|---|---|
Gradient Boosting | 0.7138 ± 0.1051 | 0.7419 ± 0.1712 | 0.6868 ± 0.1665 | 0.7560 ± 0.1147 |
Logistic Regression | 0.6523 ± 0.1101 | 0.6530 ± 0.1961 | 0.6525 ± 0.1910 | 0.7330 ± 0.1258 |
Passive Aggressive | 0.6167 ± 0.1167 | 0.6096 ± 0.2168 | 0.6247 ± 0.2141 | 0.6935 ± 0.1349 |
Perceptron | 0.6245 ± 0.1179 | 0.6334 ± 0.2211 | 0.6164 ± 0.2150 | 0.6923 ± 0.1411 |
Random Forest | 0.6957 ± 0.1048 | 0.7123 ± 0.1659 | 0.6823 ± 0.1664 | 0.7475 ± 0.1110 |
SVM | 0.6562 ± 0.1122 | 0.6476 ± 0.2047 | 0.6657 ± 0.1879 | 0.7437 ± 0.1240 |