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APARTADO 3 


predictions = None # change this
# YOUR CODE HERE
from sklearn.model_selection import cross_val_predict
from sklearn.metrics import roc_curve
from sklearn.metrics import auc, RocCurveDisplay

predictions = cross_val_predict(estimator=model, X=X, y=y, cv=10, method='predict_proba')

fpr, tpr, threshhold = roc_curve(y_true=y, y_score=predictions[:,1])
roc_auc = auc(fpr, tpr)
display = RocCurveDisplay(fpr=fpr, tpr=tpr, roc_auc=roc_auc, estimator_name='LogisticRegression')
display.plot()