Table 3 Comparison of relation mapping models.

From: Application of multi-objective optimization in the study of anti-breast cancer candidate drugs

Algorithm

Index evaluation

\(PIC_{50}\)

Caco-2

\(CYP_{3}A_{4}\)

hERG

HOB

MN

AVG

SVM

0.48

89.43

91.47

90.07

85.21

92.46

89.73

AdaBoost

0.72

87.46

91.97

89.71

83.45

90.70

88.66

GBDT

0.53

90.42

92.88

90.77

85.84

93.09

90.60

XGBoost

0.53

89.36

92.39

89.50

83.94

91.90

89.42

RandomForest

0.50

90.35

93.02

90.91

86.69

94.50

91.09

PsoBpSvm

0.53

89.37

94.06

84.14

79.09

84.49

86.23

CatBoost

0.44

91.12

93.52

91.33

86.83

94.85

91.53

  1. AVG:ADMET property prediction average accuracy.
  2. Significant values are in [bold].