Research: Example I

• Machine Learning: Automatic Building of Classifiers (e.g. Gene Classification)

• Standard Topic: Building better Classifiers (computational time, accuracy)

• Need for benchmarking

• Easiest and best with original code

• Existing tool sets with several Classifiers (e.g. WEKA)