[{'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:#Lasso Regression Implementation 10 Folds\n# define model\nmodel = Lasso()\n# define model evaluation method\ncv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n# define grid\ngrid = dict()\ngrid['alpha'] = arange(0, 1, 0.01)\n# define search\nsearch = GridSearchCV(model, grid, scoring='neg_mean_squared_error', cv=cv, n_jobs=-1)\n# perform the search\nresults = search.fit(X, Y)\n# summarize\nprint('MSE (NEGATIVE): %.3f' % results.best_score_)\nprint('Config: %s' % results.best_params_)"}, {'role': 'assistant', 'content': "['modelling']"}]