Using the multiclass logistic regression model

In this section, we'll test our ML model and analyze the results.

To use our BigQuery ML model, we'll use the ML.PREDICT function and the classification_table table, which hosts the records, to test our model, as seen in the following code block:

SELECT
  tree_id,
  actual_label,
  predicted_label_probs,
  predicted_label
FROM
  ML.PREDICT (MODEL `06_nyc_trees.classification_model_version_3`,
    (
    SELECT
       tree_id,
       zip_city,
       tree_dbh,
       boroname,
       nta_name,
       health,
       sidewalk,
       spc_latin as actual_label
...