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OC
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def balance_decor(fit_function):
def new_fit(X, y):
# your code here
X_balanced,Y_balanced = ...
return fit_function(X_balanced,Y_balanced)
return new_fit
def wrap_new_fit(model):
model.fit = balance_decor(model.fit)
return model
wrap_new_fit(RandomForestClassifier(max_depth=15, random_state=0))
D
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АС
SF
SF
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ДВ
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