QI set | Machine learning algorithm | Classification accuracy (%) | False positive (%) |
---|---|---|---|
(iv) | SVR | 86.41 | 7.00 |
(iv) | KNN | 89.72 | 4.75 |
(iv) | GBDT | 92.49 | 3.71 |
(iv) | Decision tree | 91.53 | 3.95 |
(iv) | Random forest | 93.06 | 3.01 |
(iv) | Linear regression | 84.28 | 8.59 |
(iv) | Adaboost | 86.05 | 8.38 |
(iv) | Bagging | 93.03 | 3.82 |
(iv) | Extra tree | 88.94 | 5.89 |
(iv) | MLP | 88.01 | 4.48 |