Objective:

Can you generate python code to predict whether a customer continues with their account or closes it $($e$.$g$.,$ churns$).$ Final submission is evaluated on area under the curve ROC curve between the predicted probability and the observed target

Final submission:

For each id in the test set, you must predict the probability for the target variable Exited

Model selection info:

$-$Use SVM as a model

$-$Based the model on robust cross$-$validation methods within the training data

$-$Both model selection and hyperparameter tuning should be validated through cross$-$validation to ensure reliability and prevent overfitting