Pandas for Everyone: Python Data Analysis, First Edition

14. Model Diagnostics

14.1 Introduction

Building models is a continuous art. As we start adding and removing variables from our models, we need a means to compare models with one another and a consistent way of measuring model performance. There are many ways we can compare models, and this chapter describes some of these methods.

14.2 Residuals

The residuals of a model compare what the model calculates and the actual values in the data. Let’s fit some models on a housing data set.

Click here to view code image

import pandas as pd housing = pd.read_csv('../data/housing_renamed.csv')

print(housing.head())

   neighborhood             type   units   year_built   sq_ft     income   \ 0     FINANCIAL   R9-CONDOMINIUM      42       1920.0   36500    1332615 ...