Step 1: Select rows where 'home_team' is 'hawthorn'.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
collingwood |
12.13 (85) |
st kilda |
7.15 (57) |
victoria park |
16500 |
1954-07-31 |
carlton |
9.11 (65) |
richmond |
6.10 (46) |
princes park |
25863 |
1954-07-31 |
melbourne |
16.14 (110) |
hawthorn |
5.3 (33) |
mcg |
26708 |
1954-07-31 |
south melbourne |
6.5 (41) |
footscray |
11.12 (78) |
lake oval |
19500 |
1954-07-31 |
north melbourne |
8.19 (67) |
fitzroy |
8.6 (54) |
arden street oval |
11000 |
1954-07-31 |
geelong |
16.14 (110) |
essendon |
11.10 (76) |
kardinia park |
28158 |
1954-07-31 |
Step 2: Select rows where 'away_team_score' is '9.11 (65)'.
home_team |
home_team_score |
away_team |
away_team_score |
venue |
crowd |
date |
Step 3: 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