Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Early Warning System for Seismic Events in Coal Mines Using Machine
  Learning   This document describes an approach to the problem of predicting dangerous
seismic events in active coal mines up to 8 hours in advance. It was developed
as a part of the AAIA'16 Data Mining Challenge: Predicting Dangerous Seismic
Events in Active Coal Mines. The solutions presented consist of ensembles of
various predictive models trained on different sets of features. The best one
achieved a winning score of 0.939 AUC.

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The categories of this paper are: astro-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
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The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
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The categories of this paper are: nlin
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The categories of this paper are: hep-ex
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The categories of this paper are: econ
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: plasm-ph
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-ex