[{'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:from sklearn.ensemble import RandomForestClassifier\nrange3 = np.zeros(50)\nrange4 = np.zeros(50)\nfor i in range(50):\nforest = RandomForestClassifier( n_estimators = 100)\nforest = forest.fit( train_set_x, train_set_y )\nprint("Fitting a random forest to labeled training data...")\nforest = forest.fit( train_set_x, train_set_y )\nprint(np.sqrt(np.mean(forest.predict(train_set_x)-train_set_y)**2))\nrange4[i] = np.sqrt(np.mean(forest.predict(train_set_x)-train_set_y)**2)\nresult = forest.predict( test_set_x )\nprint(np.sqrt(np.mean(result-test_set_y)**2))\nrange3[i] = np.sqrt(np.mean(result-test_set_y)**2)'}, {'role': 'assistant', 'content': "['helper_functions', 'evaluation', 'modelling', 'prediction']"}]