Step 1: Select rows where 'home_team' is 'richmond'.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
hawthorn |
13.10 (88) |
south melbourne |
7.14 (56) |
glenferrie oval |
15000 |
1943-08-21 |
collingwood |
16.17 (113) |
fitzroy |
9.9 (63) |
victoria park |
6500 |
1943-08-21 |
carlton |
15.23 (113) |
north melbourne |
7.5 (47) |
princes park |
8000 |
1943-08-21 |
richmond |
15.19 (109) |
melbourne |
12.13 (85) |
punt road oval |
9000 |
1943-08-21 |
footscray |
9.10 (64) |
essendon |
6.15 (51) |
western oval |
6000 |
1943-08-21 |
Step 2: Select rows where 'home_team_score' is '9.10 (64)'.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
richmond |
15.19 (109) |
melbourne |
12.13 (85) |
punt road oval |
9000 |
1943-08-21 |
Step 3: Select rows where 'away_team' is 'melbourne'.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
Final output table:
verification_result |
FALSE |
Prediction: FALSE
Ground-truth: FALSE