Seventh Annual UCSD Data Mining Contest
Sponsored by FICO
http://mill.ucsd.edu

UCSD and FICO are pleased to announce the Seventh Annual
University of California San Diego (UCSD) Data Mining Contest. The
contest
consists of two classification tasks based on data from an e-commerce
website.

Contest Tasks

The contest consists of two distinct but related tasks.  In each task,
contestants are given data about customers and non-customers. The goal
is
to build a classifier that will recognize customers in unlabeled data.
On both tasks, performance is evaluated as AUC (area under the ROC
curve).

This year the total prize money available has increased, to $10,000.

Rules:  Contestants may enter either or both tasks.  They can be
alone, or
part of a team of up to four people. Contestants may be located
anywhere
in the world.  All current full-time undergraduate and graduate
students, and full-time post-doctoral researchers, are eligible to
compete.  Due to the academic nature of the competition, faculty and
persons working for a company may not compete. Teams fall into two
categories; teams composed strictly of undergraduates compete in the
undergraduate division, and all other teams compete in the graduate
division.

Once a day, teams may estimate their performance by submitting their
predictions on quiz sets that are of similar construction to the test
set.
The scores on this set are displayed on the contest leaderboard.

Prizes:  $10000 in prizes will be awarded based on task and division,
at $2500 per task per division:

First Place $1250
Second Place $750
Third Place $500

Undergraduate and graduate teams will be judged separately.
Performance on the two tasks will also be judged separately.