Applying Naïve Bayes to continuous features using binning.
Tasks:
1. Read, summarize and describe the approach using a data set different from the one provided in the paper.
2. Prepare a 2 to 3 slides presentation explaining the approach.
Exercice 2:
Given the following data set:
X1 X2 X3 X5
1 1 1 0
1 1 0 0
0 0 0 0
0 1 0 1
1 0 1 1
0 1 1 1
q= 1 0 0 ?
1. Create a naive Bayes model for this data set.
2. What prediction will the naive Bayes model return for the query q=(1,0,0)?
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I don't know the answer of this question but your question is so difficult to solve so sorry
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