I-B) Modeling assignment: Prediction

Due date: Feb. 09, '22

No late submissions will be accepted.

Students must work individually to complete this assignment.

Submit at least 4 days in advance and you will get 10% bonus or extra points

This part of the project will build models to predict the number of faults based on the other attributes of the instances. Each model is to be first built and evaluated using 10-fold cross validation on the fit data set, and then validated using the test data set. Use the data sets prepared for prediction in the previous assignment of the project.

Build the following prediction models:

1. Linear Regression
2. Decision Stump

For linear regression, compare the model selection methods: greedy, M5, no selection. Compare the models, how many and which independent variables were selected? Use the statistical indicators provided by Weka to perform the comparisons.

Your report should include all the results based on 10-fold cross-validation and on the test data set. You should also compare the results of all the methods.