Research Article

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints

Table 2

Paired -test results of AUC values during 10-fold cross-validations between severe hADRs and less severe hADRs using NSap2 as negative examples.

Logistic regressionRandom forest
Database

DrugDex2.511.77-023.728.13-04
DrugPoints3.361.92-031.739.18-02
DailyMed-0.079.45-015.162.41-05

For each endpoint, the AUC score vectors of model performance on all features were paired up and compared. ; .