Dec 04, 2017, 04:30 AM UTC (UTC) - Dec 28, 2017, 10:15 AM UTC (UTC)
Leaderboard for Predict Fraudulent Transactions
| DEVELOPERS |
Score
|
451.
|
0.68605 |
452.
|
0.68596 |
453.
|
0.68563 |
454.
|
0.68540 |
455.
|
0.68537 |
456.
|
0.68531 |
457.
|
0.68520 |
458.
|
0.68433 |
459.
|
0.68416 |
460.
|
0.68385 |
461.
|
0.68311 |
462.
|
0.68286 |
463.
|
0.68221 |
464.
|
0.68151 |
465.
|
0.68146 |
466.
|
0.68093 |
467.
|
0.67911 |
468.
|
0.67801 |
469.
|
0.67799 |
470.
|
0.67783 |
471.
|
0.67738 |
472.
|
0.67730 |
473.
|
0.67629 |
474.
|
0.67628 |
475.
|
0.67575 |
476.
|
0.67573 |
477.
|
0.67541 |
478.
|
0.67195 |
479.
|
0.67184 |
480.
|
0.67057 |
481.
|
0.66910 |
482.
|
0.66814 |
483.
|
0.66562 |
484.
|
0.66511 |
485.
|
0.66511 |
486.
|
0.66187 |
487.
|
0.66165 |
488.
|
0.65768 |
489.
|
0.65402 |
490.
|
0.65143 |
491.
|
0.64820 |
492.
|
0.64551 |
493.
|
0.64457 |
494.
|
0.64232 |
495.
|
0.64148 |
496.
|
0.64083 |
497.
|
0.63588 |
498.
|
0.63535 |
499.
|
0.63395 |
500.
|
0.62030 |
Ranking Criteria
