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Table 2 The performance of models based on various classifiers developed & evaluated on EGFR10 dataset

From: QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest

Classifier

Sensitivity

Specificity

Accuracy

MCC

ROC

IBK

68.69

84.98

82.63

0.45

0.87

Bayes

68.73

70.57

70.31

0.29

0.72

Naive Bayes

69.87

67.96

68.23

0.27

0.70

SVM

67.11

86.24

83.48

0.46

0.87

Random Forest

68.74

87.67

84.95

0.49

0.89