Decision_trees #3
@ -23,8 +23,6 @@ X = data.drop('target_column', axis=1)
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y = data['target_column']
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X = pd.get_dummies(X)
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print(X)
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print(y)
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# Podział danych na zbiór treningowy i testowy
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
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