Question 71
You need to train a regression model based on a dataset containing 50,000 records that is stored in BigQuery. The data includes a total of 20 categorical and numerical features with a target variable that can include negative values. You need to minimize effort and training time while maximizing model performance. What approach 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.
References
https://cloud.google.com/automl-tables/docs/evaluate#evaluation_metrics_for_regression_models