You work at an ecommerce startup that wants to proactively reduce customer churn by building a prediction model. Your company's recent sales records are stored in a BigQuery table. Your objectives are to: 1) create an initial customer churn prediction model, 2) understand how the model is making predictions, 3) iterate on the model quickly, and 4) minimize costs. Given these requirements, how should you build your first model?