[{'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:for k in ['rbf', 'poly', 'sigmoid']:\nclf = SVC(kernel=k)\nclf.fit(X_train, y_train)\ny_pred = clf.predict(X_test)\ny_train_pred = clf.predict(X_train)\nacc = accuracy_score(y_pred, y_test)\ntrain_acc = accuracy_score(y_train_pred, y_train)\nprint('Training Accuracy with kernel:{} = {}'.format(k, train_acc))\nprint('Testing Accuracy with kernel:{} = {}'.format(k, acc))\nprint('Number of support vectors for each class:\\n',clf.n_support_ )\nprint('Support vectors shape:\\n', clf.support_vectors_.shape)"}, {'role': 'assistant', 'content': "['evaluation', 'modelling', 'prediction']"}]