[{'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:#randomForest (8)\nfrom sklearn.ensemble import RandomForestClassifier\n\nrandom_forest_clf = RandomForestClassifier(n_estimators=100).fit(train_normalized,train_labels)\n#acc_random_forest = cross_val_score(random_forest_clf, train, train_labels, cv=10, scoring='accuracy')\n\ntrainpred=random_forest_clf.predict(train_normalized)\n#testpred=random_forest_clf.predict(test_normalized)\n\n#print(metrics.accuracy_score(train_labels, trainpred))\n# print(acc_random_forest)\n# print(np.mean(acc_random_forest))\n\n#results.append(random_forest_clf.predict(test_normalized))"}, {'role': 'assistant', 'content': "['modelling']"}]