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Given a dataset containing 50,000 records stored in BigQuery, where the data includes 20 categorical and numerical features and a target variable that can include negative values, you need to train a regression model. The primary goals are to minimize effort and training time while maximizing model performance. Which of the following approaches should you take to train this regression model?
A
Create a custom TensorFlow DNN model
B
Use BQML XGBoost regression to train the model.
C
Use AutoML Tables to train the model without early stopping.
D
Use AutoML Tables to train the model with RMSLE as the optimization objective.