Step 1: Select rows where 'stadium' is 'paul brown stadium'.
week |
date |
opponent |
result |
stadium |
record |
attendance |
1 |
2004-09-12 |
baltimore ravens |
w 20 - 3 |
cleveland browns stadium |
1 - 0 |
73068.0 |
2 |
2004-09-19 |
dallas cowboys |
l 12 - 19 |
texas stadium |
1 - 1 |
63119.0 |
3 |
2004-09-26 |
new york giants |
l 10 - 27 |
giants stadium |
1 - 2 |
78521.0 |
4 |
2004-10-03 |
washington redskins |
w 17 - 13 |
cleveland browns stadium |
2 - 2 |
73348.0 |
5 |
2004-10-10 |
pittsburgh steelers |
l 23 - 34 |
heinz field |
2 - 3 |
63609.0 |
6 |
2004-10-17 |
cincinnati bengals |
w 34 - 17 |
cleveland browns stadium |
3 - 3 |
73263.0 |
7 |
2004-10-24 |
philadelphia eagles |
l 31 - 34 |
cleveland browns stadium |
3 - 4 |
73394.0 |
8 |
9999-01-01 |
- |
- |
- |
- |
nan |
9 |
2004-11-07 |
baltimore ravens |
l 13 - 27 |
m&t bank stadium |
3 - 5 |
69781.0 |
10 |
2004-11-14 |
pittsburgh steelers |
l 10 - 24 |
cleveland browns stadium |
3 - 6 |
73703.0 |
11 |
2004-11-21 |
new york jets |
l 7 - 10 |
cleveland browns stadium |
3 - 7 |
72547.0 |
12 |
2004-11-28 |
cincinnati bengals |
l 48 - 58 |
paul brown stadium |
3 - 8 |
65677.0 |
13 |
2004-12-05 |
new england patriots |
l 15 - 42 |
cleveland browns stadium |
3 - 9 |
73028.0 |
14 |
2004-12-12 |
buffalo bills |
l 7 - 37 |
ralph wilson stadium |
3 - 10 |
72330.0 |
15 |
2004-12-19 |
san diego chargers |
l 0 - 21 |
cleveland browns stadium |
3 - 11 |
72489.0 |
16 |
2004-12-26 |
miami dolphins |
l 7 - 10 |
pro player stadium |
3 - 12 |
73169.0 |
17 |
2005-01-02 |
houston texans |
w 22 - 14 |
reliant stadium |
4 - 12 |
70724.0 |
Step 2: Select rows where 'attendance' is 65677.
week |
date |
opponent |
result |
stadium |
record |
attendance |
12 |
2004-11-28 |
cincinnati bengals |
l 48 - 58 |
paul brown stadium |
3 - 8 |
65677.0 |
Step 3: Select rows where 'date' is '2004-12-19'.
week |
date |
opponent |
result |
stadium |
record |
attendance |
12 |
2004-11-28 |
cincinnati bengals |
l 48 - 58 |
paul brown stadium |
3 - 8 |
65677.0 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
week |
date |
opponent |
result |
stadium |
record |
attendance |
Final output table:
verification_result |
FALSE |
Prediction: FALSE