Can you develop a model of machine learning that can predict customers who will leave the company?
The aim is to estimate whether a bank's customers leave the bank or not. The event that defines the customer abandonment is the closing of the customer's bank account.
It consists of 10000 observations and 12 variables. Independent variables contain information about customers. Dependent variable refers to customer abandonment status.
The model created as a result of LightGBM hyperparameter optimization became the model with the maxium Accuracy Score. (0.9116)