[{'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,Ridge,Lasso\nfrom sklearn.model_selection import GridSearchCV, RandomizedSearchCV\nfrom sklearn.metrics import mean_squared_error as mse\nfrom sklearn import metrics\n\n# Initialize logistic regression model\nlr = LinearRegression()\n\n# Train the model\nlr.fit(X_train,y = y_train)\n\n# Make predictions\ny_pred = lr.predict(X_test)\n\ny_pred_train = lr.predict(X_train)\n\nprint('RMSLE for test: ',rmsle(y_test, y_pred, True))\nprint('RMSLE for train: ',rmsle(y_train, y_pred_train, True))"}, {'role': 'assistant', 'content': "['modelling']"}]