Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bank Card Usage Prediction Exploiting Geolocation Information   We describe the solution of team ISMLL for the ECML-PKDD 2016 Discovery
Challenge on Bank Card Usage for both tasks. Our solution is based on three
pillars. Gradient boosted decision trees as a strong regression and
classification model, an intensive search for good hyperparameter
configurations and strong features that exploit geolocation information. This
approach achieved the best performance on the public leaderboard for the first
task and a decent fourth position for the second task.

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The categories of this paper are: nucl-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
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The categories of this paper are: q-bio
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The categories of this paper are: q-alg
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The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
3
The categories of this paper are: physics
16
The categories of this paper are: stat