Discuss prominent use cases of Naïve Bayesian Classifier

Reference no: EM132324300 , Length: word count:900

Assignment -

Part A) Respond to the following questions:

1. List and discuss some prominent use cases of the Naïve Bayesian Classifier. Why are log-likelihoods rather than pure probability values used in the Naïve Bayesian Classifier?

2. Why do we end up with an over fitted model with deep trees and in data sets when we have outcomes that are dependent on many variables?

Create a new thread for your response. Please provide one short paragraph response to each question (minimum of 250 words). Your response must be in your own words.

Part B) Provide feedback to three (3) your classmates. Do not respond with short answers such as "I agree" etc. If you agree or disagree, discuss the why.

Note - 2 questions - 250 words each, need to reply to other students post, 3 replies - 130 words each and need to include references and citations.

Reference no: EM132324300

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