Executive Solution Overview
In this homework, we explore both linear and logistic regression models. Linear Regression 1) (20 points) Apply linear regression on both “diabetes” and “advertising” datasets and write a short paragraph about your findings. 2) (20 points) What is the linear regression model for each case? Logistic …
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In this homework, we explore both linear and logistic regression models.
Linear Regression
1) (20 points) Apply linear regression on both “diabetes” and “advertising” datasets and write a short paragraph about your findings.
2) (20 points) What is the linear regression model for each case?
Logistic Regression
1) (30 points) Use “bank” dataset and apply the logistic regression technique using the WEKA tool in 3 different settings, including:
a. 5 fold-cross validation.
b. 10 fold-cross validation.
c. 80% training.
Write a short paragraph about your findings and compare the results.
2) (30 points) Remove 3 features randomly from the dataset and repeat the same procedure (part 1) again.
• Your report including the screenshots of your implementation and the result.
\
bank-2.arff.txt](https://www.sweetstudy.com/files/bank-2-arff-txt "bank-2.arff.txt")
\
advertising.arff.txt](https://www.sweetstudy.com/files/advertising-arff-txt "advertising.arff.txt")
\
diabetes.arff.txt](https://www.sweetstudy.com/files/diabetes-arff-txt "diabetes.arff.txt")
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