[{'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:f, ax = plt.subplots()\nbar_indices = np.arange(X.shape[1])\nbar_width = 0.85\nplt.title("Feature Importances (trees = {}, Samples = {})".format(rfr.get_params()["n_estimators"], len(X)))\nplt.bar(bar_indices,\nrfr.feature_importances_[importances_ind],\nbar_width,\ncolor=\'r\',\nyerr=importances_std[importances_ind],\nalign=\'center\', bottom=0)\nplt.xticks(bar_indices, td.feature_names[importances_ind], rotation=90)\nplt.tight_layout()\nplt.show()'}, {'role': 'assistant', 'content': 'data_exploration'}]