data-practitioner video for a data analyst has created a BigQuery ML model and now wants to evaluate its performance. For a classification model predicting
A data analyst has created a BigQuery ML model and now wants to evaluate its performance. For a classification model predicting customer churn, which evaluation metric would be most important if false negatives (missing customers who will churn) are more costly than false positives?