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Welcome to the 2010 UCSD Data Mining Contest sponsored by FICO.

FICO has sponsored the data mining contest since 2004, which provides undergraduate and graduate students an opportunity to test out their data mining skills on a real-world data set. FICO pioneered the use of predictive modeling to represent and explain the underlying relationships in data and make predictions and classifications about future events.

This year's contest consists of two classification tasks based on an e-tailer's data of customers and non-customers. The first task is to maximize the AUC of binary classification on a test data set, given a fully labeled training data set. The second task is similar to task 1, but is on a boolean-transformed data set.

FICO and UCSD will award prizes to first, second and third place winners in four categories: Task 1 undergraduate; Task 1 graduate; Task 2 undergraduate and Task 2 graduate. There is a total of $5,000 in prize money for each task, for a total of $10,000.

We launched the contest on July 1, 2010. The contest will end August 31, 2010. The contest is international. All current undergraduate students, graduate students, and postdoctoral researchers studying full-time, in residence at an accredited university or college may compete for prizes. Others may compete but will not be eligible for prizes.

  • The UCSD Data Mining Contest offers students a chance to test their data mining skill on a real-world data set.
  • Teams will compete to build a system that correctly predicts customers for an e-tailer.

    See the datasets page for details.
  • There are many reasons to participate:

    1. Practical experience is the best way to learn.
    2. Success in the competition looks great on a resume (graduate admissions, jobs, fellowships).
  • Participating is easy, and we encourage everyone to try!
  • The flyer for this competition.
  • The contest forum is now up and running. Learn from others and get your own ideas out there!



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