[{'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; plt.rcdefaults()\nimport numpy as np\nimport matplotlib.pyplot as plt\n%matplotlib inline\nlm.fit(X, y)\ny_pos = np.arange(len(feature_cols))\nperformance = lm.coef_\nplt.figure(figsize=(20,10))\nplt.barh(y_pos, performance, edgecolor='black',  align='center', alpha=0.5)\nplt.yticks(y_pos, feature_cols)\nplt.xlabel('Feature_Owners Correlation in Millions')\nplt.title('Linear Regression')\nplt.plot()"}, {'role': 'assistant', 'content': "['helper_functions', 'modelling', 'result_visualization']"}]