Create ML Models with BigQuery ML: Challenge Lab Reviews

The last task does not work! Here is the code that should get the correct answer asked but it never passes the task. select avg_predicted_duration from (SELECT AVG(predicted_label) as avg_predicted_duration, count(*) as total_rides FROM ml.PREDICT(MODEL `bikeshare.bikeshare_model2`, ( with daynames AS (SELECT ['Sun', 'Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat'] AS daysofweek), biketrips AS ( SELECT start_station_name as station_name, subscriber_type as subscriber_type, start_time as start_time, daysofweek[ORDINAL(EXTRACT(DAYOFWEEK FROM start_time))] AS dayofweek, EXTRACT(HOUR FROM start_time) AS hourofday, address as location FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` as a, daynames, `bigquery-public-data.austin_bikeshare.bikeshare_stations` as b WHERE a.start_station_id = b.station_id AND DATE(start_time) BETWEEN '2018-01-01' AND '2018-12-31' AND subscriber_type like 'Single Trip' ) SELECT * FROM biketrips )) group by station_name ORDER BY total_rides DESC limit 1 ) Tried all kinds of combinations

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