Multivariate Regression

Compare different models for housing price prediction.

Description

This example shows you how to perform regression with more than one input feature using the Boston Housing Dataset, which is a famous dataset derived from information collected by the U.S. Census Service concerning housing in the area of Boston Massachusetts.

It allows you to compare the performance of 3 different models for predicting the house prices. When training the linear model, it will also display the largest 5 weights (by absolute value) of the model and the feature associated with each of those weights.

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