DMC 2004 results RWTH Aachen
A group of three students submitted their results to the Data
Mining Cup 2004.
(See also the article from the Computerzeitung (in German): Informatikernachwuchs forscht
nahe an Trends)
This is the result, places 1, 3, and 5 out of 97 student
submissions (note how small the difference between second and
third place is):
The complete
list is available on the web site of the contest as a pdf document.
The winning method was the following (contact me for more information):
- data preprocessing with binning and slightly different
methods for the different types of features (results in 123 new
features)
- estimation of "naive Bayes" posterior probabilities for
each feature using relative frequencies (conditional probability
of class c given feature value for feature i)
- estimation of a log-linear model for the three classes
using the maximum entropy approach (similar to multi-class
logistic regression) with the feature posterior probabilities as
new feature functions
We also submitted some other results as "non-students" that did not enter
the competition and got places 1, 2, and 4 out of 15
submissions:
Daniel Keysers
Last modified: Thu Apr 21 10:23:23 CEST 2005