('non-hazardous state') examples is a serious problem in seismic hazard prediction. Currently used
methods are still insufficient to achieve good sensitivity and specificity of predictions. In the paper
(Bukowska M.: The probability of rockburst occurrence in the Upper Silesian Coal Basin area dependent on
natural mining conditions. Journal of Mining Sciences, 42(6), 2006, 570-577) a number of factors having
an effect on seismic hazard occurrence was proposed, among other factors, the occurrence of tremors with
energy > 10^4J was listed. The task of seismic prediction can be defined in different ways, but the main
aim of all seismic hazard assessment methods is to predict (with given precision relating to time and
date) of increased seismic activity which can cause a rockburst. In the data set each row contains a
summary statement about seismic activity in the rock mass within one shift (8 hours). If decision
attribute has the value 1, then in the next shift any seismic bump with an energy higher than 10^4 J was
registered. That task of hazards prediction bases on the relationship between the energy of recorded
tremors and seismoacoustic activity with the possibility of rockburst occurrence. Hence, such hazard
prognosis is not connected with accurate rockburst prediction. Moreover, with the information about the
possibility of hazardous situation occurrence, an appropriate supervision service can reduce a risk of
rockburst (e.g. by distressing shooting) or withdraw workers from the threatened area. Good prediction
of increased seismic activity is therefore a matter of great practical importance. The presented data
set is characterized by unbalanced distribution of positive and negative examples. In the data set there
are only 170 positive examples representing class 1.