Is your feature request related to a problem?

It's not possible to set the number of trees for gradient boosting (classifier & regressor).

Desired solution

• Add a new parameter number_of_trees: int to the initializer of safeds.ml.classical.classification.GradientBoosting and safeds.ml.classical.regression.GradientBoosting
• Raise a value error if number_of_trees < 1
• Pass it along to n_estimators of the wrapped scikit-learn model in the fit method

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