Contingency: a python library for fast, vectorized metrology with binary contingency counts.
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https://data.nist.gov/od/id/mds2-4079
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With this tool, users can rapidly calculate binary classifier metrics like Matthew's Correlation Coefficient, F-Scores, and Average Precision Scores from scalar and binary predictions. It is primarily used to calculate threshold sensitivity studies, and has several routines to significantly speed up metric calculation (or approximation) when aggregate measures of performance over all thresholds are needed.
