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This document discusses different classification algorithms that can be used for a binary dependent variable including Naive Bayes, linear discriminant analysis, and logistic regression. It also evaluates these algorithms on a real estate dataset to predict crime rates. Key points: 1) Naive Bayes can be used since the dependent variable is binary, but LDA/QDA require making categorical variables continuous first. 2) The Boston housing dataset is split into a 300 observation training set and 206 observati

Author

Devansh Rai

Language

EN