Table 1 Compare with other classifier models in tenfold cross-validation on the same dataset
From: XGBCDA: a multiple heterogeneous networks-based method for predicting circRNA-disease associations
Method | ACC | AUC | PRE | REC | F1 |
|---|---|---|---|---|---|
XGBoost | 0.9541 | 0.9860 | 0.9844 | 0.9307 | 0.9517 |
SVM | 0.7626 | 0.8696 | 0.8995 | 0.5519 | 0.7217 |
Decision Tree | 0.8242 | 0.9146 | 0.8266 | 0.8124 | 0.8138 |
KNN | 0.8618 | 0.9147 | 0.8885 | 0.8247 | 0.8509 |
Naive Bayes | 0.7031 | 0.7469 | 0.7214 | 0.6485 | 0.6766 |