[{'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:plt.figure()\nimportance_df.plot(kind='barh', x='feature', y='fscore',\n                   legend=False, figsize=(20, 10))\nplt.title('XGBoost Feature Importance', size=25)\nplt.xlabel('Relative importance', size=20)\nplt.ylabel('Features', size=20)\nplt.tick_params(labelsize=15)\n#plt.gcf().savefig('feature_importance.png')"}, {'role': 'assistant', 'content': "['result_visualization']"}]