Training the binary logistic regression model

As we already did in Chapter 4, Predicting Numerical Values with Linear Regression, we'll adopt an incremental approach in trying to improve the performance of our ML model at each attempt:

1. Let's start training our first ML model, binary_classification_version_1:

   CREATE OR REPLACE MODEL `05_chicago_taxi.binary_classification_version_1`
   OPTIONS
     (model_type='logistic_reg', labels = ['will_get_tip']) AS
       SELECT
           trip_seconds,
           IF(tips>0,1,0) AS will_get_tip
       FROM  `05_chicago_taxi.training_table`;

   In this BigQuery ML statement, we can see the CREATE OR REPLACE MODEL keywords used to start the training of the model. These keywords are followed by the identifier of the ML model. After the identifier, we can notice the OPTIONS clause. As our options...