This article is a Python copying activity record of Chapter 9, Part 3: 'Logistic Regression Model' from the book 'Introduction to Data Analysis with Bayesian Statistical Modeling using R and Stan'.

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Build and train a Logistic Regression classification model. Evaluate model performance using standard classification metrics. Develop a predictive system that can classify new, unseen news articles.

Contributed by Margaret A. Phillips; received July 30, 2022; accepted November 8, 2022; reviewed by Robert A. Bonomo and Michael K. Riscoe ...

Machine Learning isn't just about models, It's about asking the right questions and feeding them the right data. A simple algorithm with clean data will outperform a complex model with messy inputs, ...