Identifying the target variable of the logistic regression model

A logistic regression model operates as a classification algorithm aiming to predict a binary outcome. In this section, we will specify the best column within the dataset to predict whether an incoming call to the operator is related to fire or non-fire incidents.

Getting ready

We will visualize many of the data points in this section, which will require the following:

1. Ensuring that matplotlib is installed by executing pip install matplotlib at the command line.
2. Running import matplotlib.pyplot as plt as well as ensuring graphs are viewed within cells by running %matplotlib inline.

Additionally, there will be some manipulation of functions within pyspark.sql that requires importing functions as F.

How to do it...

This section will walk through visualizing the data from the San Francisco Fire Department.

1. Execute the following script to get a cursory identification of the unique values in the Call Type Group column:

df.select('Call Type...