This analysis involved search for a model that was capable of predicting if a client will default or pay a loan. The analysis began with cleaning of the data to prepare them for modelling. Models used in this case included: Random forest, Support vector machine and Logistic regression. The best model was chosen based on performance indices like accuracy, recall, AUC.
