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Table 1 Misclassification costs used for False Negative (FN)

From: Predictive models for anti-tubercular molecules using machine learning on high-throughput biological screening datasets

Pubchem Assay ID

Naive Bayes

Random Forest

SMO

J48

AID1626

9.5

6270

65

300

AID1949

8

2250

42

200

AID1332

None*

15

4

11

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BMC Research Notes

ISSN: 1756-0500

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