DATA:

Iris dataset. Use the instructions at, e.g. https://xavierbourretsicotte.github.io/Naive_Bayes_Classifier.html , to process the data.

Instead of 3 classes, use only 2 classes: Setosa and Versicolor.

Q1) [3pts]: 9,(x)= -log 2.7 logs (x - m;) +log f(c) 2 2s Q1a) Using only the sepal length feature, according to the formula above (from page 12 of Chap4 slides), and determine the decision region for Setosa and Versicolot. Q1b) Repeat Q1a) using sepal width feature. Q1) [3pts]: 9,(x)= -log 2.7 logs (x - m;) +log f(c) 2 2s Q1a) Using only the sepal length feature, according to the formula above (from page 12 of Chap4 slides), and determine the decision region for Setosa and Versicolot. Q1b) Repeat Q1a) using sepal width feature