[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:for i, alias in [('lung', 'Lung Cancers'),\n('skin', 'Melanomas')]:\nannotation = tissue_df.ix[i, :]\nannotation.name = alias\nccal.oncogps.make_oncogps(training_h = h_matrix,\ntraining_states = global_sample_labels,\nannotation = annotation,\ntitle = annotation.name,\nannotation_type = 'binary',\ncomponent_markersize = 25,\ncomponent_fontsize = 25,\nsample_markersize = 18,\nmds_seed = 1234,\nstd_max = 2,\ninformational_mds = False,\ncomponent_names = component_names,\nfilepath = RESULTS_DIR +   '/Global_Onco-GPS_Feature_{}.pdf'.format(annotation.name))"}, {'role': 'assistant', 'content': 'result_visualization'}]