[{'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:plt.hist(s_scores, bins = 100)\nplt.xlabel("Total Score", fontsize=15)\nplt.ylabel("Number of Rolls", fontsize=15)\nplt.title("Standard Player - 1 roll a turn", fontsize=15)\nymin, ymax = plt.ylim()\nplt.vlines(s_mean, ymin, ymax, color = "red", label = "Mean = {}".format(s_mean))\nplt.vlines(s_mean - s_stdev, ymin, ymax, color = "red", linestyles = "dashed")\nplt.vlines(s_mean + s_stdev, ymin, ymax, color = "red", linestyles = "dashed")\nplt.text(50, 1500, "Mean = {}".format(s_mean), color = "red", fontsize = 12)\nplt.text(50, 1400, "St. Dev = {:.3f}".format(s_stdev), color = "red", fontsize = 12)\nplt.show()'}, {'role': 'assistant', 'content': 'result_visualization'}]