Case_Study_Anish_Purohit_20072018
Goal is to develop a model to predict customer churn with 10-fold Cross-validation
In this experiment, we have tried a simple approach of data cleaning and modelling using Decision Trees. Cross validation (10-fold - which is by-default) has been applied to check any bias behaviour using random sampling. Evaluation metric to consider accuracy of model is ROC graph and Precision/Recall values for better prediction.
