[{'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:# Plot feature importance of top 20\nimportance_df.iloc[-20:,:].plot(x='feature',y='fscore',kind='barh')\n\n# Only select features w/ a feature score (can also specify min fscore)\n# Retrain model with reduced feature set\ndf_all = df_all[importance_df.feature.values]\nX = df_all.iloc[:piv_train,:]\nX_test = df_all.iloc[piv_train:,:]\ndtrain = xgb.DMatrix(X, y)\nclf2 = xgb.train(params=params, dtrain=dtrain, num_boost_round=num_boost_round)\ny_pred = clf2.predict(xgb.DMatrix(X_test)).reshape(df_test.shape[0],12)"}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]