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The real-world dataset for this
competition has been provided by a consumer finance company (the company)
with the aim of finding better solutions for a cross-selling business
problem. By registering for this competition you:
-
acknowledge that you may only
use the data for the purpose of entering this
competition;
-
acknowledge that your
submission may be given to, and used, by the
company;
-
grant the company and its
affiliates a perpetual, worldwide, non-exclusive, irrevocable and
royalty free licence to use, modify, communicate to the public and adapt
and combine your submission for their own business purposes, without
further reference to you.
Open Category -There is
only one entry category for this year's competition. Team entries
(including coaches) are permitted.
Free Registration - Potential
competition participants are required to register the following
information via the "Online Registration" page:
(1)
Full Name, (2) Contact Postal Address, (3) Contact Telephone Number
(including country/area codes), (4) Contact Email Address, (5)
Occupation (optional), and (6) Company/Institution (optional).
For team entries, please note that
registration and contact information will need to be submitted online
for each member of your team.
Upon successful registration, competition modeling and prediction datasets can be obtained from the downloads section (in the participant login area). The datasets will be available in both Excel97 format and tab-delimited text file format. A data dictionary will also be provided (however not all variable codings will be explained). Note also that the datasets might contain missing or invalid values. Do note that this dataset is not meant to be made available or redistributed in the public domain after the competition as requested by the dataset donor.
Misclassification cost functions
(marketing costs and potential gains) will not be provided.
Participants should also take note not to necessarily assume that the
proportions of the target flag in the overall customer database
population, in the modeling sample, and in the prediction sample are
the same.
Submissions
1. Participants are required to submit via the "online Submissions" page a tab-delimited text file or an Excel97 file containing 2 fields: the numeric "Customer_ID" field and the numeric "Target_Score" field for each of the 8,000 customers in the prediction dataset. Less than 8,000 scores will not be considered a complete submission. Normalization or scaling of scores is not required.
2. Entrants are also required to submit a technical paper style report (in Word or PDF format, minimum one page, maximum 3,000 words) that includes:
a) Walk-through
of any data preparation step(s) that were applied
b) Explanation
of modeling technique(s) used
c)
Summary of scoring model results (e.g. final
model parameters and model assessment)
d) Discussion on
what business insights can be interpreted from the scoring model
results.
These reports are meant primarily
for explaining your work to the general public and to the company
donating the dataset, and will be published on the "online Results"
page from 1 May 2007.Participation
in this competition implies that you agree for your report(s) to be
published online. Note that the committee might also consider
assessing qualitative aspects of these reports if it deems that a tie-breaker
is necessary.
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