# Logistic Regression

Logistic regression is one of the simplest ways to build classifiers: models that predict binary outcomes (in contrast to regression models, which predict numerical values).

## Why Logistic Regression?

There are many ways to ask the question “why logistic regression?”. One natural question to ask is: if we already know how to build linear regression models, but now are trying to build classifiers, why not simply use a linear regression model and round the prediction to a binary value?

TBF: demo of why this idea doesn’t work.

### Multi-class Logistic Regression

TBF. <div id="div-plot2"></div>