[{'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:X3 = dfSelected.values[:, [2, 5]]\nX3\ndelta0 = max(X3[:,0])-min(X3[:,0])\ndelta0\ndelta1 = max(X3[:,1])-min(X3[:,1])\ndelta1\nnp.mean(X3[:,0])\ndfSelected.columns.values[2]\nnp.percentile(X3[:, 0],[25,50,75])\n(x1,x2,y1,y2)=(2,3,4,5)\ndf[df.columns.values[2]+'_Upper_Outliers'] = 0.5*(1+np.sign(df[df.columns.values[2]]-2.7))\nnp.mean(X3[:, 1])"}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing']"}]