Model |
AUC(95%CI) |
Precision |
Recall |
F |
Gradient Boosting |
0.8478[0.8291,0.8666] |
0.8269 |
0.9738 |
0.8943 |
Support Vector Machine |
0.8182[0.7996,0.8368] |
0.8255 |
1.0000 |
0.9044 |
AdaBoost |
0.8551[0.8387,0.8716] |
0.8290 |
0.9924 |
0.9033 |
Random Forest |
0.8587[0.8421,0.8753] |
0.8337 |
0.9746 |
0.8986 |
K-Nearest Neighbor |
0.7963[0.7766,0.816] |
0.8259 |
0.9992 |
0.9043 |
Neural Network |
0.8545[0.8388,0.8703] |
0.8278 |
0.9873 |
0.9003 |