[{'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:inputf = features\n# frst1 = IsolationForest(n_estimators=5)\n# frst1.fit(inputf, labels)\n# frst2 = IsolationForest(n_estimators=5)\n# frst2.fit(inputf, labels)\n# frst3 = IsolationForest(n_estimators=5)\n# frst3.fit(inputf, labels)\n# frst4 = IsolationForest(n_estimators=5)\n# frst4.fit(inputf, labels)\n# frst5 = IsolationForest(n_estimators=5)\n# frst5.fit(inputf, labels)\n# frst6 = IsolationForest(n_estimators=5)\n# frst6.fit(inputf, labels)\n# frst7 = IsolationForest(n_estimators=5)\n# frst7.fit(inputf, labels)\n# frst8 = IsolationForest(n_estimators=5)\n# frst8.fit(inputf, labels)\n# frst9 = IsolationForest(n_estimators=5)\n# frst9.fit(inputf, labels)\n# frst10 = IsolationForest(n_estimators=5)\n# frst10.fit(inputf, labels)'}, {'role': 'assistant', 'content': "['helper_functions']"}]