Table 6 Classification results with three sets of QIS
QI set | Machine learning algorithm | Classification accuracy (%) | False positive (%) |
|---|---|---|---|
(i) | SVR | 82.30 | 9.87 |
(i) | KNN | 88.21 | 6.20 |
(i) | GBDT | 87.25 | 7.82 |
(i) | Decision tree | 85.95 | 8.19 |
(i) | Random forest | 89.62 | 5.32 |
(ii) | SVR | 85.79 | 7.82 |
(ii) | KNN | 88.63 | 5.99 |
(ii) | GBDT | 87.92 | 7.33 |
(ii) | Decision tree | 86.57 | 7.46 |
(ii) | Random forest | 90.81 | 4.55 |
(iii) | SVR | 86.01 | 7.10 |
(iii) | KNN | 89.10 | 5.30 |
(iii) | GBDT | 90.08 | 5.32 |
(iii) | Decision tree | 89.08 | 5.07 |
(iii) | Random forest | 92.20 | 3.40 |