INSTRUCTIONS This assignment is based on Kaggle's competition on Binary Classification with a Bank Churn Dataset. Your task is to predict whether the customer continues with the bank or closes it.

The dataset is divided into training and testing dataset for you and is attached here. You are expected to do exploratory data analysis (EDA) and handle missing data in train dataset. Once the model is trained, use test data to create confusion matrix. Comment on the sensitivity and specificity of your model based on confusion matrix. You are expected to submit R-code and all visual outputs if created. Provide R-Code with comments and graphs / plots