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BinarybalancedCut

Threshold Cut Point of Probability for a Binary Classifier Model

Allows to view the optimal probability cut-off point at which the Sensitivity and Specificity meets and its a best way to minimize both Type-1 and Type-2 error for a binary Classifier in determining the Probability threshold.

Versions across snapshots

VersionRepositoryFileSize
0.2 2026-04-09 windows/windows R-4.5 BinarybalancedCut_0.2.zip 16.4 KiB

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