Please answer this homework related to Data Science and Big Data Analysis in APA format with References and Citations

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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

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Play yes no yes no yes yes yes yes yes no Outlook rainy rainy overcast sunny rainy sunny rainy sunny overcast sunny Temperature Humidity cool normal cool normal hot high mild high cool normal cool normal cool normal hot normal mild high mild high Wind FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE School of Computer & Information Sciences ITS 836 Data Science and Big Data Analytics ITS 836 1 HW07 Lecture 07 Classification 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 ITS 836 2 HW07-1 Apply ID3 Algorithm to demonstrate the Decision Tree for the data set Select yes yes yes yes no no no Size Color medium blue small red large green large green small red large red large red Back to HW07 Overview Shape brick sphere pillar sphere wedge wedge pillar http://www.cse.unsw.edu.au/~billw/cs9414/notes/ml/06prop/id3/id3.html ITS 836 3 HW07 Q 2 • Analyze R code in section 7_1 to create the decision tree classifier for the dataset: bank_sample.csv • Create and Explain all plots an d results # install packages rpart,rpart.plot # put this code into Rstudio source and execute lines via Ctrl/Enter library("rpart") library("rpart.plot") setwd("c:/data/rstudiofiles/") banktrain
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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...


Anonymous
Just what I needed…Fantastic!

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