|
Metrics
|
KNN
|
LR
|
SVM
|
DT
|
MLP
|
XGboost
|
|---|
|
AU-ROC
|
0.81
|
0.82
|
0.78
|
0.73
|
0.79
|
0.83
|
|
AU-PRC
|
0.88
|
0.86
|
0.81
|
0.87
|
0.81
|
0.88
|
|
accuracy
|
0.81
|
0.81
|
0.78
|
0.78
|
0.77
|
0.80
|
|
precision
|
0.82
|
0.80
|
0.77
|
0.76
|
0.73
|
0.79
|
|
recall
|
0.91
|
0.93
|
0.93
|
0.95
|
1.00
|
0.93
|
|
F1 score
|
0.86
|
0.86
|
0.84
|
0.85
|
0.85
|
0.85
|
|
MCC
|
0.59
|
0.58
|
0.52
|
0.53
|
0.53
|
0.56
|
|
SPC
|
0.65
|
0.60
|
0.53
|
0.51
|
0.38
|
0.57
|
|
NPV
|
0.81
|
0.84
|
0.82
|
0.85
|
1.00
|
0.84
|
- AU-ROC area under the receiver operating characteristic curve, AU-PRC area under the precision-recall curve, MCC Matthews correlation coefficient, SPC specificity, NPV negative prognostic value, KNN k-nearest neighbors classifier, LR logistic regression, SVM support vector machine, DT decision tree, MLP multilayer perceptron
