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Imbalanced Classification Project

Background Information

Beta Bank customers are leaving: little by little, chipping away every month. The bankers figured out it’s cheaper to save the existing customers rather than to attract new ones. We need to predict whether a customer will leave the bank soon. You have data on clients’ past behavior and termination of contracts with the bank.

Build a model with the maximum possible F1 score. To pass the project, you need an F1 score of at least 0.59. Additionally, measure the AUC-ROC metric and compare it with the F1.

Dataset URL (CSV File)

https://bit.ly/2XZK7Bo

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A model that will predict whether a customer will leave the bank

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