I would like to classify a dataset Credit Scoring, which is composed of 21 attributes, some of them are numeric and others are boolean.
For the output, I want to know if they have a good or bad credit based on those attributes, without calculating any numeric value for the credit score.
I am using Weka for this task. However, I am not sure what are the best/ideal classifiers for that kind of datasets.
Anyone here can put me in the right direction?