Step 1: Select rows where 'field_goal_percentage' is 594.
selection |
month |
season |
team_record |
points_per_game |
field_goal_percentage |
rebounds_per_game |
blocks_per_game |
9999-01-01 |
2006-04-01 |
2005-06-01 |
7-2 |
18.1 |
531 |
14.0 |
0.7 |
9999-01-02 |
2006-10-01 |
2006-07-01 |
12-4 |
17.1 |
576 |
13.6 |
1.9 |
9999-01-03 |
2007-10-01 |
2007-08-01 |
14-4 |
23.8 |
618 |
15.0 |
2.7 |
9999-01-04 |
2007-12-01 |
2007-08-01 |
8-7 |
21.7 |
598 |
16.1 |
2.9 |
9999-01-05 |
2010-10-01 |
2010-11-01 |
13-4 |
21.8 (5th) |
594 (2nd) |
12.1 (4th in league) |
2.4 |
Step 2: Select rows where 'blocks_per_game' is 2.4.
selection |
month |
season |
team_record |
points_per_game |
field_goal_percentage |
rebounds_per_game |
blocks_per_game |
Step 3: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
selection |
month |
season |
team_record |
points_per_game |
field_goal_percentage |
rebounds_per_game |
blocks_per_game |
Final output table:
verification_result |
FALSE |
Prediction: FALSE