机器学习方法 | 准确率 | 准确率的标准差 | AUC | AUC的标准差 |
LR | 0.9779 | 0.0134 | 0.9834 | 0.01 |
RF | 0.9517 | 0.0151 | 0.9638 | 0.0113 |
SVM | 0.9669 | 0.0134 | 0.9752 | 0.01 |
KNN | 0.9462 | 0.0228 | 0.9597 | 0.0171 |
NB | 0.9007 | 0.0167 | 0.9225 | 0.0125 |
XGB | 0.9545 | 0.0223 | 0.9659 | 0.0175 |