Modeling the Relationship via Logistic Regression

We will dedicate the rest of this chapter to one of the fundamental techniques in data analysis and machine learning: linear and logistic regression.

Suppose that we are estimating the relationship between m different features.

In both linear and logistic regression, a set of features, X1, ..., Xm, and a target variable, Y, are provided to model the target variable, Y, as a function of the features, X1, ..., Xm, as in the following equation:

Figure 3.16: General form of linear/logistic regression