Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring
We study previous works about datasets on bankruptcy prediction and credit scoring. We propose a procedure to improve the results of previous works. We show that Bagging scheme must be used on the correct base procedures. Our proposal is simpler and improves complex procedures.
ensembles of classifiers bankruptcy prediction credit scoring decision trees imprecise dirichlet model