Skip to main content

Table 1 Performance evaluation of classifiers

From: A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening

Classifier

ACC

Sensitivity

Specificity

BACa

AUC

BrCa

93.33

88.71

93.38

91.05

78.46

PaCa

89.65

62.32

90.02

76.17

77.47

OvCa

92.08

64.44

92.32

78.38

79.31

  1. aBAC is balanced accuracy, which is defined as the arithmetic mean of sensitivity and specificity.
Back to article page

Genome Medicine

ISSN: 1756-994X

Contact us