Pattern Recognition: Spring 2011

Course Information

Reference

Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.

Grading

R demos

Practical

Use the following datasets for your practical.

Each of these datasets represent a binary classification problem. For your practical, perform the following analyses and summarize your results. You have 30 minutes each for a presentation in class (on April 19 and 21).

Your presentation should include a description of the data, as well as a summary of the choices you made during the analyses.

Wherever relevant, perform 5-fold cross-validation and 10-fold cross-validation for model selection (i.e., choice of tuning parameter). For the selected model, use leave-one-out cross-validation and 5-fold cross-validation for error-rate estimation (repeat the 5-fold cross-validation process 10 times to assess variability of the error-rate estimate).


Last updated: Wed Apr 27 2011