Classification Threshold Optimizer In Minutes

The method, in full

The practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.

Read the guide →

What's in the report?

Standard-library analysis: where should the cutoff go on your model score, given what YOUR errors actually cost? Map the true yes/no outcome and a predicted probability or score, and every candidate cutoff is swept — precision, recall, F1, specificity, accuracy and expected cost at each. The report gives the optimum under several named criteria (maximum F1, Youden's J, minimum expected cost from your own cost of a false positive and a false negative, and the cutoff that meets a target precision or recall), the metric-versus-threshold curves as the headline chart, and — for every cutoff — the cost ratio it implicitly assumes. If no costs are supplied, the criteria are shown side by side rather than one being picked for you.