[{'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:def plot_feature_importance(feature_columns, importance_values, top_n_features=10):\n    feature_imp = [ col for col in zip(feature_columns, importance_values)]\n    feature_imp.sort(key=lambda x:x[1], reverse=True)\n    \n    if top_n_features:\n        imp = pd.DataFrame(feature_imp[0:top_n_features], columns=[\'feature\', \'importance\'])\n    else:\n        imp = pd.DataFrame(feature_imp, columns=[\'feature\', \'importance\'])\n    plt.figure(figsize=(10, 8))\n    sns.barplot(y=\'feature\', x=\'importance\', data=imp, orient=\'h\')\n    plt.title(\'Most Important Features\', fontsize=16)\n    plt.ylabel("Feature", fontsize=16)\n    plt.xlabel("")\n    plt.show()\''}, {'role': 'assistant', 'content': 'result_visualization'}]