The posterior probabilities of four hypothesis h1,h2,h3,h4 are (0.2, 0.5,0.2, 0.1) respectively. A new training sample...

50.1K

Verified Solution

Question

Statistics

The posterior probabilities of four hypothesis h1,h2,h3,h4 are(0.2, 0.5,0.2, 0.1) respectively. A new training sample isclassified +ve by h2 and h3, while h1 and h4 classify the same datainstance as -ve. Find the classification with Bayes OptimalClassifier and Brute Force Classification?

Answer & Explanation Solved by verified expert
3.9 Ratings (645 Votes)
The naive bayes classifier treats every attribute independently It will sum up the weightage of the classifiers which identified the tuple as ve and ve separately and compare    See Answer
Get Answers to Unlimited Questions

Join us to gain access to millions of questions and expert answers. Enjoy exclusive benefits tailored just for you!

Membership Benefits:
  • Unlimited Question Access with detailed Answers
  • Zin AI - 3 Million Words
  • 10 Dall-E 3 Images
  • 20 Plot Generations
  • Conversation with Dialogue Memory
  • No Ads, Ever!
  • Access to Our Best AI Platform: Flex AI - Your personal assistant for all your inquiries!
Become a Member

Other questions asked by students