Classification Threshold (a.k.a decision threshold) is a value that converts the result of a quantitative test to a simple binary decision. Example: when using logistic regression, values are mapped to number between 0 and 1. If the classification threshold is set as 0.6, any example which is classified as 0.6 or more by the regressor is labeled as 1, and the others labeled as 0. In the image below - the classification threshold is 0.5.
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