Feature Engineering for a Gene Regulation Prediction Tas George Forman   View Paper (PDF)   Return to December 2002 - Volume 4, Issue 2 Abstract This paper describes an approach that won honorable mention for the gene regulation prediction task of the 2002 KDD Cup competition. Our methodology used extensive cross-validation to direct the search for an appropriate problem representation and the selection of an 'off-the-shelf' induction algorithm. A prominent trait of the dataset is the presence of three hierarchical attributes, for each of which we generated a novel predictive feature: the percentage of positives hierarchically aggregated at the node specified by the instance. DiSC'03 © 2003 Association for Computing Machinery