BMC Pharmacology

Table 2 Statistics of best predictive models for AID449762

From: Computational models for in-vitro anti-tubercular activity of molecules based on high-throughput chemical biology screening datasets

Classifier*	TP rate	FP rate	TN rate	FN rate	Accuracy	ROC area	BCR ^#
CSC NB	47.30	19.50	80.50	52.70	80.28%	0.70	63.90
CSC RF	47.00	19.20	80.80	53.00	80.58%	0.712	63.90
CSC SMO	51.90	19.30	80.70	48.10	80.52%	0.748	66.30
Metacost J48	40.60	19.10	80.90	59.40	80.62%	0.61	60.75

*CSC denotes CostSensitiveClassifier, ^# BCR denotes Balanced Classification Rate

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