[{'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.linear_model import LinearRegression\nfrom sklearn.cross_validation import KFold\npredictors = ["Pclass", "Sex", "Age", "SibSp", "Parch", "Fare", "Embarked"]\nalg = LinearRegression()\nkf = KFold(titanic.shape[0], n_folds=3, random_state=1)\npredictions = []\nfor train, test in kf:\ntrain_predictors = (titanic[predictors].iloc[train,:])\ntrain_target = titanic["Survived"].iloc[train]\nalg.fit(train_predictors, train_target)\ntest_predictions = alg.predict(titanic[predictors].iloc[test,:])\npredictions.append(test_predictions)'}, {'role': 'assistant', 'content': "['helper_functions', 'modelling']"}]