End-to-End Data Science with SAS

Chapter 7: Parametric Classification Models

Overview

Classification Overview

Difference Between Linear and Logistic Regression

Logistic Regression

Loss Function

Data

Data Restriction

Visualization

Logistic Regression Model

PROC LOGISTIC Code

PROC LOGISTIC Model Output

Scoring the TEST Data Set

Linear Discriminant Analysis

PROC DISCRIM

PROC DISCRIM Model Output

Chapter Review

Overview

In the last chapter, we focused on linear regression models. Two important characteristics define those models. 1.) They are designed to support a quantitative target variable. 2.) They assume a functional form (Y ≈ β0 + β1 X1); therefore, they are categorized as parametric models.

Linear regression models are constrained to fit the data by utilizing the linear ...