Early Warning System for Seismic Events in Coal Mines Using Machine Learning

Robert Bogucki, Jan Lasek, Jan Kanty Milczek, Michal Tadeusiak

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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