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Table 3 Performance comparison of the different algorithms results based on seven metrics on GDSC dataset

From: Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model

Method

Accuracy

Recall

Precision

Specificity

F1Score

MCC

AUC

Auto-HMM-LMF

0.70

0.78

0.68

0.63

0.73

0.39

0.78

DSPLMF

0.68

0.75

0.67

0.61

0.70

0.37

0.76

EFS-LMF

0.67

0.72

0.67

0.64

0.68

0.35

0.77

CaDRReS

0.54

0.54

0.54

0.54

0.55

0.12

0.51

SRMF

0.51

0.52

0.52

0.51

0.51

0.10

0.49

AutoBorutaRF

0.65

0.65

0.64

0.65

0.65

0.31

0.71

SVM-RFE

0.59

0.58

0.58

0.61

0.58

0.19

0.51