Fully Explained Softmax Regression for Multi-Class Label with Python

Author(s): Amit Chauhan

Originally published on Towards AI.

Supervised multi-class classification in machine learning
Photo by James Harrison on Unsplash

Introduction

In the logistic regression, we deal with binary class i.e., two classes in the output columns. However, in the real world, we get various types of data and sometimes have more than two classes in the output column. In that case, we can use soft-max regression is a multinomial logistic regression or multi-class classification algorithm. For logistic regression, we can say, it is a form of soft-max regression.

Some of the learners may think that we are doing a classification problem, but we are using regression in the algorithm name. As the logistic base computation is… Read the full blog for free on Medium.

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Published via Towards AI