[{'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:import matplotlib.pyplot as plt<br>%matplotlib inline<br><br>from IPython.display import set_matplotlib_formats<br>set_matplotlib_formats('pdf', 'png')<br>pd.options.display.float_format = '{:.2f}'.format<br>rc={'savefig.dpi': 75, 'figure.autolayout': False, 'figure.figsize': [12, 8], 'axes.labelsize': 18,\\\\<br>   'axes.titlesize': 18, 'font.size': 18, 'lines.linewidth': 2.0, 'lines.markersize': 8, 'legend.fontsize': 16,\\\\<br>   'xtick.labelsize': 16, 'ytick.labelsize': 16}<br><br>sns.set(style='dark',rc=rc)"}, {'role': 'assistant', 'content': "['helper_functions']"}]