[{'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:f1s = np.vstack((stats_90['F1'].values,\nstats_80['F1'].values[[1,0,2]],\nstats_70['F1'].values[[2,1,0]]))\nsns.heatmap(f1s,vmin=0,vmax=0.4)\nplt.xticks([0.5,1.5,2.5],['90','80','70'])\nplt.yticks([0.5,1.5,2.5],['70','80','90'])\nplt.ylabel('Testing Condition')\nplt.xlabel('Training Condition')\nplt.title('F1 scores when trained & tested on different conditions')"}, {'role': 'assistant', 'content': "['result_visualization']"}]