About this document

Predicting Term Deposit Acceptance by JimZhang is a document available to read on EtoBox.

This document summarizes the process of developing a logistic regression model to predict whether a customer will accept a term deposit based on 12 explanatory variables. Through exploratory analysis, univariate analysis, and checking for collinearity, variables like job type and education were reclassified and some were removed. Automatic variable selection and likelihood ratio tests identified key variables to include in the initial model. Model fit was evaluated and interactions were considered, but the

Author

JimZhang

Language

EN