Comparison of methods of data mining techniques for the predictive accuracy.

This paper is based on the work of Yeh, Lien (2009). In the paper, authors used the payment data set from the important bank in Taiwan. To build a model, the whole sample was divided in two subsets - training and testing sets - so each model could be trained on the first one and then be evaluated on the second. Our motivation was to see whether the same result could be obtained if we repeatedly apply the models to the different data sets. To do so, Monte Carlo simulation was implemented to generate these sets.