A Simple Interpretation of Logistic Regression Coefficients
<p>I’ve always been fascinated by <strong>Logistic Regression</strong>. It’s a fairly simple yet powerful Machine Learning model that can be applied to various use cases. It’s been widely explained and applied, and yet, I haven’t seen many correct and simple interpretations of the model itself. Let’s crack that now.</p>
<p>I won’t dive into the details of what Logistic Regression is, where it can be applied, how to measure the model error, etc. There’s already been lots of good writing about it. This post will specifically tackle <strong>the interpretation of its coefficients, </strong>in a simple, intuitive manner,<strong> </strong>without introducing unnecessary terminology.</p>
<p><a href="https://towardsdatascience.com/a-simple-interpretation-of-logistic-regression-coefficients-e3a40a62e8cf"><strong>Read More</strong></a></p>