Coding Challenge: Model Evaluation
Explore how to evaluate machine learning models by selecting appropriate metrics and using cross-validation on a bank customer churn dataset. Learn to compare multiple models and identify the best predictor based on performance scores.
We'll cover the following...
We'll cover the following...
We’ll now work with a dataset containing information on a bank’s customer base, containing the following variables:
customerID: The customer’s unique ID.gender: The customer’s gender.SeniorCitizen: The customer’s senior citizen status.Partner: The customer’s relationship status.Dependents: The customer’s number of dependents. ...