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Table 8 A summary of predictive scores for the BBB dataset as presented in the work by [2] followed by the performance of the InChI-NGN. Missing ranges for all values other than the SVM work and our own are due to missing information in the primary literature.

From: Classifying and scoring of molecules with the NGN: new datasets, significance tests, and generalization

Method

Q(%)

SE(%)

SP(%)

MCC

LR

57.1

63.6

42.8

0.063

LDA

46.8

40.0

58.4

−0.067

C4.5 DT

73.8

83.7

54.9

0.398

k-NN

70.8

77.0

58.0

0.348

PNN

70.3

76.2

57.8

0.357

SVM

71.0±4.53

89.9±3.16

64.3±13.07

0.524±0.117

LR RFE

71.0

83.9

46.4

0.321

LDA RFE

71.2

78.2

58.3

0.360

C4.5 DT RFE

74.3

80.3

62.8

0.433

k-NN RFE

77.1

85.5

61.4

0.477

PNN RFE

76.1

84.3

62.1

0.481

SVM RFE

83.7±3.90

88.6±7.01

75.0±12.83

0.645±0.080

InChI-NGN

72.0±2.33

77.6±1.72

59.0±3.91

0.355±0.052