Description
Questions
1.Perform the ID3 Algorithm 2.R exercise for Decision Tree section 7_1 3.Explain how Random Forest Algorithm works 4.Iris Dataset with Decision Tree vs Random Forest 5.R exercise for Naïve Bayes section 7_2 6.Analyze Classifier Performance section 7_3 7.Redo calculations for ID3 and Naïve Bayes for the Golf
Unformatted Attachment Preview
Purchase answer to see full attachment
Explanation & Answer
Hi Meeth.I have attached your completed assignment.
Apply ID3 Algorithm to demonstrate the Decision Tree for the data set
• There are a total of 7 instances(rows of data) in the given data set.
• There are three features or attributes - size, color, and shape.
• The 7 instances are classified into two classes – yes, and no.
The above diagram is a nested if-statement:
If(shape == wedge) return no;
If(shape == brick) return yes; If(shape == pillar){
if(color == red) return no; if(color == green) return yes;}
If...