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to assess its performance from sklearn.model_selection import cross_val_score cv = cross_val_score(pipeline, X, y, cv=5, n_jobs=1) # n_jobs=1 specifies that the computation will use 1 CPU mean_score = np.mean(cv) # Calculate the mean of the cross-validation scores # Print the mean cross-validation