Semester : SEMESTER 7
Subject : Machine Learning
Year : 2019
Term : MAY
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : CS 467
Page:2
F G1163 Pages: 3
PART (^
Answer any two full questions, each carries 9 marks.
14 The following data set contains factors that determine whether tennis is played (9)
or not. Using Naive Bayes classifier, find the play prediction for the day
Overcast Normal Strong
Sunny i High Weak
Sunny Normal Weak
Normal Weak YES
Normal Strong YES
Overcast i Strong
Overcast Normal Weak
15 a) For the following set of training samples, find which attribute can be chosen 35 (6)
the root for decision tree classification
Instance | Classification
b) What is a Perceptron? Explain the working of a perceptron with a neat diagram. (3)
16 a) A patient takes a lab test and the result comes back positive. It is known that the (4)
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