Comparative Analysis of Data Reduction Model for Credit Scoring

The development of credit card application should be in proportion with the expectation of terrible credit hazard on the grounds that it doesn't utilize security collateral as guarantee. The use of credit scoring can be utilized to help the credit hazard assay in deciding the customer's eligibility. Data mining has been demonstrated as a significant tool for credit scoring. The objective of this exploration is to design a data mining model for credit scoring in bank keeping in mind the end goal to bolster and enhance the execution of the credit expert job. The proposed model applies filtration, characteristic determination, grouping techniques and the best precision is accomplished by Stratified removal folds filter. Also GainRatioAttribute method has selected the best attributes and bayes net and decision tree have shown equal results under classification techniques. Keywords—Data Mining, Bank, Credit Card, Credit Scoring, Filters, Attribute selection, Classification