Improve Your Classification Models With Threshold Tuning
Last Updated on July 25, 2023 by Editorial Team
Author(s): Edoardo Bianchi
Originally published on Towards AI.
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Threshold tuning is an important and necessary step in the Data Science pipeline. It is strongly related to the application domain and requires common sense and critical thinking.
Threshold tuning allows you to customize a finished model and adapt it to different needs.
In this article, I will demonstrate how to improve the performance of a model by tuning a decision threshold. Let’s start.
Going beyond AccuracyThe “predict probability” trickChoosing the important metric to maximizeSome real use cases & scenariosHands-on Threshold TuningConclusions
Often, accuracy is not enough to… Read the full blog for free on Medium.
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