Answer Posted / Dauji Garg
Logistic regression may be considered better than Naive Bayes in certain scenarios. Logistic regression performs better when the predictor variables are linearly related to the response variable, and it handles multicollinearity among predictors better than Naive Bayes. However, Naive Bayes often outperforms logistic regression with complex datasets or when there's a large number of features compared to samples.
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