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Early Warning System for Seismic Events in Coal Mines Using Machine Learning (1609.06957v1)
Published 21 Sep 2016 in cs.LG and stat.ML
Abstract: 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.