www-ai.cs.tu-dortmund.de/LEHRE/PG/PG445/KDDcup2002/vogel_axelrod_2002.pdf
Microsoft Word - vogel.doc
chose 0.08 as a cutoff, since that included 54 variables, which was more than enough to work with. Within that group, we evaluated subsets of the dataset where each of the variables was greater than 0, and [...] set. It should also be noted that sorting the test set by this variable alone yields an ROC area of 0.6516, enough to rank 3rd on the narrow positive class in the KDD Cup.
2.4 Interaction Variables The [...] each representing the number of interactions with genes having that variable’s value greater than 0. The most predictive interaction was evaluating interaction with essential genes. Out of 260 genes …
