Question

SECTION-1: 1. How do we perform Bayesian classification when some features are missing (A) We assuming the missing values as the mean of all values. (B) We ignore the missing features. (C) We integrate the posteriors probabilities over the missing features. (D) Drop the features completely. Answer: Option-C. Explanation: Here we don't use general methods of handling missing values in​

Answer 1

Answer:

jzjsjndjejjdjikd jkxiekoooskxokd

Answer 2

Answer:

B) We ignore the missing features.