Why not Mean Squared Error(MSE) as a loss function for Logistic Regression? 🤔

Rajesh Shreedhar Bhat
Towards Data Science
5 min readSep 15, 2019

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Authors: Rajesh Shreedhar Bhat*, Souradip Chakraborty* (* denotes equal contribution).

In this blog post, we mainly compare “log loss” vs “mean squared error” for logistic regression and show that why log loss is recommended for the same based on empirical and mathematical analysis.

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Sr. Data Scientist - Walmart | Google Developer Expert - Machine Learning | Kaggle Competitions Expert | Website: http://rajesh-bhat.github.io