[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:n_words = 10\nprint("The %d most representative words for each cluster/label (K-means)" % n_words)\noriginal_space_centroids = best_svd.inverse_transform(best_km.cluster_centers_)\norder_centroids = original_space_centroids.argsort()[:, ::-1]\nfor i in range(best_n_clusters):\nprint("\\nCluster %d: " % (i+1), end=\'\')\nfor j,ind in enumerate(order_centroids[i, :n_words-1]):\nprint("%s, " % words.values[ind,0], end=\'\')\nprint("%s." % words.values[order_centroids[i,n_words-1],0])'}, {'role': 'assistant', 'content': "['result_visualization']"}]