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Table 1 Misclassification cost used for false negatives with each classifier

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

Classifier Cost
SMO 110
Random Forest 14000
Naïve Bayes 35
J48 350