[{'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:list1=[]\ntuple_l=()\ndef data_modeling(X,target,model):\n    for i in range(len(model)):\n        ml=model[i]\n        ml.fit(X,target)\n        pred=ml.predict(X)\n        acc_score=accuracy_score(pd.DataFrame(ml.predict(X)),target)\n        tuple_l=(ml.__class__.__name__,acc_score)\n        list1.append(tuple_l)\n        print(tuple_l)\n    return list1\n\nmodel_score_output=data_modeling(train_merge4,target,[AdaBoostClassifier(),KNeighborsClassifier(),\nsvm.SVC(),RandomForestClassifier(),\ntree.DecisionTreeClassifier(),\nGaussianNB(),\nLogisticRegression(),\nensemble.GradientBoostingClassifier()])'}, {'role': 'assistant', 'content': "['modelling']"}]