Validation and learning curves

The validation curve shows the score as a function of a hyperparameter; the learning curve shows it as a function of the training set size. A large gap between training and validation scores indicates overfitting, two low and close scores indicate underfitting.

learning_curve(modele, X, y, cv=5)

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