Dec 04, 2017, 04:30 AM UTC (UTC) - Dec 28, 2017, 10:15 AM UTC (UTC)
Leaderboard for Predict Fraudulent Transactions
| DEVELOPERS |
Score
|
351.
|
0.71880 |
352.
|
0.71873 |
353.
|
0.71860 |
354.
|
0.71818 |
355.
|
0.71814 |
356.
|
0.71797 |
357.
|
0.71788 |
358.
|
0.71787 |
359.
|
0.71778 |
360.
|
0.71777 |
361.
|
0.71764 |
362.
|
0.71761 |
363.
|
0.71749 |
364.
|
0.71736 |
365.
|
0.71698 |
366.
|
0.71696 |
367.
|
0.71690 |
368.
|
0.71672 |
369.
|
0.71662 |
370.
|
0.71659 |
371.
|
0.71641 |
372.
|
0.71627 |
373.
|
0.71621 |
374.
|
0.71618 |
375.
|
0.71596 |
376.
|
0.71583 |
377.
|
0.71544 |
378.
|
0.71535 |
379.
|
0.71532 |
380.
|
0.71511 |
381.
|
0.71510 |
|
382.
|
0.71476 |
383.
|
0.71437 |
384.
|
0.71433 |
385.
|
0.71423 |
|
386.
|
0.71393 |
387.
|
0.71377 |
388.
|
0.71362 |
389.
|
0.71361 |
390.
|
0.71338 |
391.
|
0.71315 |
392.
|
0.71281 |
393.
|
0.71254 |
|
394.
|
0.71190 |
395.
|
0.71139 |
396.
|
0.71127 |
397.
|
0.71108 |
398.
|
0.71091 |
399.
|
0.71053 |
400.
|
0.70996 |
Ranking Criteria
