[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:random_forest_conf_matrix_train = metrics.confusion_matrix(train_y, train_y_predicted)\nrandom_forest_conf_matrix_test = metrics.confusion_matrix(test_y, test_y_predicted)\nfix, ax = plt.subplots(figsize=(16, 12))\nplt.suptitle('Random Forest Confusion-Matrix')\nplt.subplot(2, 2, 1)\nplt.title('Training data-set');\nsns.heatmap(random_forest_conf_matrix_train, annot=True,  fmt='d');\nplt.subplot(2, 2, 2)\nplt.title('Testing data-set');\nsns.heatmap(random_forest_conf_matrix_test, annot=True,  fmt='d');\nplt.show()"}, {'role': 'assistant', 'content': 'result_visualization'}]