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The question 1 is validated if the outputted plot looks like the plot below. The two important points to check are: The training score has to converge towards 1 and the cross-validation score reaches a plateau around 0.9 from max_depth = 10
The code that generated the data in the plot is:
from sklearn.model_selection import validation_curve
clf = RandomForestClassifier()
param_range = np.arange(1,30,2)
train_scores, test_scores = validation_curve(clf,
X,
y,
param_name="max_depth",
param_range=param_range,
scoring="roc_auc",
n_jobs=-1)
The question 2 is validated if the outputted plots looks like:
