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Tune In: Decision Threshold Optimization with scikit-learn’s TunedThresholdClassifierCV
Use cases and code to explore the new class that helps tune decision thresholds in scikit-learn Kevin Arvai · Follow Published in Towards Data Science · 10 min read · 7 hours ago — The 1.5 release of scikit-learn includes a new class, TunedThresholdClassifierCV, making optimizing decision thresholds from scikit-learn classifiers easier. A decision threshold is a cut-off point that converts predicted probabilities output by a machine learning model into discrete classes. The default decision