Description
– Phase II: (10%) due Wednesday, Nov. 15, 11:59pm.
Choose a dataset with a quantitative response, and discuss your choice with me. (1%)
N.B. Your dataset should not be associated with any existing work related to the
required tasks – e.g., on kaggle, Github, …
Apply logistic regression, linear, and quadratic discriminant analysis techniques. (4%)
Include resampling techniques in your work, and compare the performance of the generated
classifiers accordingly. Use appropriate comparison measures, tables, and graphs. (3%)
Use subset selection approaches with different measures. (3%)
For each phase, make sure to highlight the following in your R markdown pdf file:
Dataset description including context and features
Data mining tasks
Model performance
Results
Comparison of results
Comments and interpretation
Name of your R markdown pdf file following this template: NameOfTeamMember1-
NameOfTeamMember2_Phase PhaseNumber.
