In this work , we were trying to predict credit default risk. We were dealing with historical credit clients informations and willing to predict whether or not a client will reimbursed his credit . This is a standard supervised classification task . First of all , we analyze and clean the data . Then , extract relevelant pattern. Then train models and optimize the most promising . Finally, we use stacking to build a strong predictor.