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Encode categorical variables using appropriate encoding

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Reference no: EM133233158

Bayesian (Naive Bayes) Classifier (50)

Question 1. Randomly divide Dataset E into 80% for training and 20% for testing. Encode categorical variables using appropriate encoding method (in-built function allowed).

Question 2. A feature value is considered as an outlier if its value is greater than mean +3x standard deviation (u + 3 x o). Asample having maximum such outlier features must be dropped. Print the final set of features formed. Normalise the features as required.

Question 3. Train the Naive Bayes Classifier using 10-fold cross validation (no packages to be used for Naive Bayes Classifier). Print the final accuracy.

Reference no: EM133233158

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