Question 1: 1.1: How can we convert a continuous feature into a categorical feature using binning? (Read and summarize the part of the chapter related to Naïve Bayes classification in the book)...

Question 1:

1.1: How can we convert a continuous feature into a categorical feature using binning? (Read and summarize the part of the chapter related to Naïve Bayes classification in the book)

Question 2:

The table below lists a dataset that we want to use to predict whether it will be good day for a picnic.

T	P	Class
S	1	1
S	2	1
M	1	1
L	2	1
S	1	1
M	2	1
M	3	2
L	2	2
M	1	2
L	2	2
L	3	2
L	2	2

1. Can we cast the prediction as a binary classification task. Explain your answer.


2. We consider applying Naïve Bayes classifier. Provide the results of the training phase.


3. Given the query Q=[ T ="L", P="1"], what would the Naïve Bayes classifier prediction be? Explain your answer.

Extracted text: Question 1: 1.1: How can we convert a continuous feature into a categorical feature using binning? (Read and summarize the part of the chapter related to Naïve Bayes classification in the book) Question 2: The table below lists a dataset that we want to use to predict whether it will be good day for a picnic. P Class 1 1 S 2 1 M 1 1 L 2 1 1 M 2 M 3 2 2 M 1 2 2 L 3 2 2 2 1. Can we cast the prediction as a binary classification task. Explain your answer. 2. We consider applying Naïve Bayes classifier. Provide the results of the training phase. 3. Given the query Q=[ T ="L", P="1"], what would the Naïve Bayes classifier prediction be? Explain your answer.