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0520MCA201122101

based on the data of trained samples using KNN algorithm. Choose k = 3

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Excellence

OR
Consider a training data set consisting of the fauna of the world. Each unit has 3

(6)
features named “Swim”, “Fly” and “೮೪17. Let the possible values of these
features be as follows:

Swim - Fast, Slow. No

Fly - Long. Short, Rarely, No

Craw] - Yes, No

For simplicity, each unit is classified as “Animal”, “Bird™ or “Fish”. Let the
training data set be as in the table below . Use naive Bayes algorithm to classify a
particular species if its features are (Slow. Rarely.No)

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