0.676
Best BalAcc@10
14
Teams
138
Submissions
—
Days remaining
Metric:
Teams by BalAcc@10
Top-10 balanced accuracy on the 50-word vocab — Kaggle’s official public score
10.6761
20.6123
30.5987
40.5720
50.5097
60.4797
70.4444
80.3520
90.3016
100.2900
110.2756
120.2292
130.1906
140.1600
Best score per team — every metric
Kaggle ranks one number. We archive every submission and re-score it ourselves, so each team's best on each metric sits side by side (public split). Click a metric to rank by it.
| # | Team | BalAcc@10 ↓ | BalAcc@1 | OVMI | Subs |
|---|---|---|---|---|---|
| 1 | Umur Yıldız | 0.6761 | 0.2233 | 1.1230 | 12 |
| 2 | JovanaLab | 0.6123 | 0.2498 | 1.0382 | 9 |
| 3 | kakuteki | 0.5987 | 0.1911 | 1.0715 | 36 |
| 4 | MindLink | 0.5720 | 0.1594 | 0.9749 | 14 |
| 5 | titus fisher | 0.5097 | 0.0740 | 0.8982 | 10 |
| 6 | Alireza Karimi | 0.4797 | 0.1140 | 0.9574 | 16 |
| 7 | Baseline | 0.4444 | 0.0733 | 0.9803 | 1 |
| 8 | Brain King | 0.3520 | 0.0724 | 0.9137 | 6 |
| 9 | SHINE | 0.3016 | 0.0400 | 0.9437 | 2 |
| 10 | monte-carlo | 0.2900 | 0.0483 | 0.4671 | 5 |
| 11 | MindReaders2.0 | 0.2756 | 0.0645 | 0.9441 | 19 |
| 12 | Kim | 0.2292 | 0.0278 | 0.0599 | 4 |
| 13 | lavender_lover | 0.1906 | 0.0200 | 0.4893 | 3 |
| 14 | Viknesh .V | 0.1600 | 0.0200 | 0.0000 | 1 |
About these numbers
BalAcc@10 is Kaggle's official public score, shown here exactly as Kaggle reports it. BalAcc@1 (strict top-1) and OVMI (the information a decoder recovers over the vocabulary) are computed by us from the submitted files, on the same public split — final placements use the private split, revealed after the deadline.
Updated … · Deep Track on Kaggle →