[{'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:#Modelling based on important features alone\ntrain = train.drop(["Soil_Type7","Soil_Type15","Wilderness_Area1","Wilderness_Area2","Wilderness_Area3","Slope",\n                  "Hillshade_Noon"],axis = 1)\ntest = test.drop(["Soil_Type7","Soil_Type15","Wilderness_Area1","Wilderness_Area2","Wilderness_Area3","Slope",\n                  "Hillshade_Noon"],axis = 1)\ntrain3 = train\ntest3 = test\n\ntrain[:10]\n#train_imp = train3[train]\n\n#[[\'Id\',\'Elevation\',\'Horizontal_Distance_To_Roadways\',\'Horizontal_Distance_To_Fire_Points\',\n #                   \'Horizontal_Distance_To_Hydrology\',\'Vertical_Distance_To_Hydrology\',\'Hillshade_9am\',\n  #                  \'Aspect\',\'Hillshade_3pm\',\n   #                 \'Wilderness_Area4\',\'Cover_Type\']]\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]