[{'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:print("Regression Analyses Results: Display the slopes, R2, and pvalues for each of the regressions,")\nprint("with and without linearly detrending the data first")\nprint("")\nindex_txt = ["Als","Bor","Bur","Cha1","Lan","LLV","SRv","Swi"]\ncol_txt=["beta","beta-D","R2","R2-D","pval","pval-D"]\ndf_reg_GHDvTemp_site = pd.DataFrame(reg_GHDvTemp_site, index=index_txt, \\\ncolumns=col_txt)\nprint("GHD vs Temperature: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_GHDvTemp_site)\ndf_reg_GHDvPrec_site = pd.DataFrame(reg_GHDvPrec_site, index=index_txt, \\\ncolumns=col_txt)\nprint("GHD vs Precipitation: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_GHDvPrec_site)\ndf_reg_GHDvPDSI_site = pd.DataFrame(reg_GHDvPDSI_site, index=index_txt, \\\ncolumns=col_txt)\nprint("GHD vs PDSI: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_GHDvPDSI_site)\ndf_reg_TempvPrec_site = pd.DataFrame(reg_TempvPrec_site, index=index_txt, \\\ncolumns=col_txt)\nprint("Temp vs Prec: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_TempvPrec_site)\ndf_reg_TempvPDSI_site = pd.DataFrame(reg_TempvPDSI_site, index=index_txt, \\\ncolumns=col_txt)\nprint("Temp vs PDSI: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_TempvPDSI_site)\ndf_reg_PDSIvPrec_site = pd.DataFrame(reg_PDSIvPrec_site, index=index_txt, \\\ncolumns=col_txt)\nprint("PDSI vs Prec: "+np.str(yr1[0])+"-"+np.str(yr2[0]))\ndisplay(df_reg_PDSIvPrec_site)'}, {'role': 'assistant', 'content': "['evaluation']"}]