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Classification

Logistic Regression

Machine Learning

December 31, 2020

How does the tradeoff between recall and precision work?

Recall measures the suitability of a model for a give business statement. Precision measures the reliability of the aforementioned model. The ideal case would be when recall and precision both are high i.e. the model is suited for the business scenario and delivers high quality results. But research has shown that precision and recall share an almost inverse relationship i.e. as recall increases precision decreases. I said almost inverse because beyond a certain point precision becomes indifferent to increase in recall.

by : Monis Khan