[{'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:# #linearSVM (1)\n\n# linearSVM_clf = svm.SVC(kernel='linear', C=1).fit(train_normalized,train_labels)\n# #acc1=cross_val_score(clf, train_normalized, train_labels, cv=20, scoring='accuracy')\n\n# trainpred=linearSVM_clf.predict(train_normalized)\n# testpred=linearSVM_clf.predict(test_normalized)\n\n# print(metrics.accuracy_score(train_labels, trainpred))\n\n# # print(acc1)\n# # print(np.mean(acc1))\n\n\n# #results.append(clf.predict(test_normalized))\n"}, {'role': 'assistant', 'content': "['helper_functions']"}]