Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train fit - Linear classifier - Document - PDFSEARCH.IO

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	Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit Add to Reading List Document Date: 2014-12-05 11:38:24 Open Document File Size: 114,08 KB Share Result on Facebook / Facility randomForest library / / IndustryTerm arbitrary standard statistical algorithm / web sources / / Organization U.S. Congress / / Person Christopher Manning / / PoliticalEvent congressional voting / / ProgrammingLanguage R / / ProvinceOrState New Brunswick / / Technology http / pdf / Machine Learning / / URL http / SocialTag Econometrics Actuarial science Statistical classification Naive Bayes classifier Training set Logistic regression Overfitting Generalized linear model Supervised learning Statistics

Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fitAdd to Reading List