Contents
What are the live D4 leaderboards?
The live D4 leaderboards allow participants to submit new models and evaluate them on the D4 test set, the same one used for the July 2019 results. We provide two leaderboards, one based on the D2 longitudinal prediction set and the other on the cross-sectional D3 prediction set. The leaderboards are updated every 5 minutes.
We already populated the tables with the prize-eligible submissions that were evaluated in June.
How to submit
Participants should name their submission file as:
TADPOLE_Submission_D4Live_D2_TeamName-Index.csv
This will enable our script to pick up the submission file automatically. One example name is TADPOLE_Submission_D4Live_D2_PowerRangers1.csv. No underscores should be included in team names. For predictions using the cross-sectional D3 prediction set, participants should tag their submissions as:
TADPOLE_Submission_D4Live_D3_TeamName-Index.csv
The index number is to avoid name clashes. If a submission already exists with the same name, it will automatically get a small hash appended to its name.
If helpful, the script performing the live evaluation can be found on our github repository here. The format of the prediction is the same as before, see submission page for details.
Live Leaderboard for longitudinal prediction set (D2)
Table last updated on 2020-08-19 17:40 (BST +0). Update frequency: ad hoc basis (contact: tadpole@cs.ucl.ac.uk)
| RANK |
FILE NAME | MAUC RANK | MAUC | BCA | ADAS RANK | ADAS MAE | ADAS WES | ADAS CPA | VENTS RANK | VENTS MAE | VENTS WES | VENTS CPA | DATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0 | NICVICOROB-mean | 1.0 | 0.935 | 0.825 | 1.0 | 3.44 | 3.44 | 0.49 | 2.0 | 0.40 | 0.40 | 0.50 | 2020-08-19 16:33 |
| 2.0 | Frog | 2.0 | 0.931 | 0.849 | 6.0 | 4.85 | 4.74 | 0.44 | 12.0 | 0.45 | 0.33 | 0.47 | 2019-06-14 14:00 |
| 3.0 | CBIL-MinMFa | 4.0 | 0.909 | 0.845 | 17.0 | 5.53 | 5.54 | 0.39 | 15.0 | 0.46 | 0.46 | 0.02 | 2019-08-12 14:46 |
| 4.0 | CBIL-MinMF1 | 16.0 | 0.886 | 0.818 | 8.0 | 5.10 | 5.11 | 0.41 | 16.0 | 0.46 | 0.46 | 0.37 | 2019-08-09 06:57 |
| 5.0 | EMC1-Std | 10.0 | 0.898 | 0.811 | 28.5 | 6.05 | 5.40 | 0.45 | 3.5 | 0.41 | 0.29 | 0.43 | 2019-06-14 14:00 |
| 6.0 | VikingAI-Sigmoid | 22.0 | 0.875 | 0.760 | 10.0 | 5.20 | 5.11 | 0.02 | 13.5 | 0.45 | 0.35 | 0.20 | 2019-06-14 14:00 |
| 7.0 | EMC1-Custom | 14.0 | 0.892 | 0.798 | 28.5 | 6.05 | 5.40 | 0.45 | 3.5 | 0.41 | 0.29 | 0.43 | 2019-06-14 14:00 |
| 8.0 | CBIL | 11.0 | 0.897 | 0.803 | 19.0 | 5.66 | 5.65 | 0.37 | 17.0 | 0.46 | 0.46 | 0.09 | 2019-06-14 14:00 |
| 9.0 | Apocalypse | 9.0 | 0.902 | 0.827 | 18.0 | 5.57 | 5.57 | 0.50 | 24.0 | 0.52 | 0.52 | 0.50 | 2019-06-14 14:00 |
| 10.0 | GlassFrog-Average | 7.0 | 0.902 | 0.825 | 11.0 | 5.26 | 5.27 | 0.26 | 34.0 | 0.68 | 0.60 | 0.33 | 2019-06-14 14:00 |
| 11.0 | GlassFrog-SM | 7.0 | 0.902 | 0.825 | 21.0 | 5.77 | 5.92 | 0.20 | 25.0 | 0.52 | 0.33 | 0.20 | 2019-06-14 14:00 |
| 12.0 | BORREGOTECMTY | 25.0 | 0.866 | 0.808 | 24.0 | 5.90 | 5.82 | 0.39 | 7.0 | 0.43 | 0.37 | 0.40 | 2019-06-14 14:00 |
| 13.0 | BenchmarkMixedEffects | 32.0 | 0.846 | 0.706 | 2.0 | 4.19 | 4.19 | 0.31 | 27.0 | 0.56 | 0.56 | 0.50 | 2019-06-14 14:00 |
| 14.0 | EMC-EB | 5.0 | 0.907 | 0.805 | 46.0 | 6.75 | 6.66 | 0.50 | 11.0 | 0.45 | 0.40 | 0.48 | 2019-06-14 14:00 |
| 15.0 | VikingAI-Logistic | 26.0 | 0.865 | 0.754 | 26.0 | 6.02 | 5.91 | 0.26 | 13.5 | 0.45 | 0.35 | 0.20 | 2019-06-14 14:00 |
| 16.0 | lmaUCL-Covariates | 28.0 | 0.852 | 0.760 | 33.0 | 6.28 | 6.29 | 0.28 | 5.0 | 0.42 | 0.41 | 0.11 | 2019-06-14 14:00 |
| 17.0 | CN2L-Average | 35.0 | 0.843 | 0.792 | 12.0 | 5.31 | 5.31 | 0.35 | 20.0 | 0.49 | 0.49 | 0.33 | 2019-06-14 14:00 |
| 18.5 | CN2L-RandomForest | 12.0 | 0.896 | 0.792 | 20.0 | 5.73 | 5.73 | 0.42 | 36.0 | 0.71 | 0.71 | 0.41 | 2019-06-14 14:00 |
| 18.5 | lmaUCL-Std | 27.0 | 0.859 | 0.781 | 35.0 | 6.30 | 6.33 | 0.26 | 6.0 | 0.42 | 0.41 | 0.09 | 2019-06-14 14:00 |
| 20.5 | FortuneTellerFish-SuStaIn | 48.0 | 0.806 | 0.685 | 5.0 | 4.81 | 4.81 | 0.21 | 18.0 | 0.49 | 0.49 | 0.18 | 2019-06-14 14:00 |
| 20.5 | CN2L-NeuralNetwork | 49.0 | 0.783 | 0.717 | 13.0 | 5.36 | 5.36 | 0.34 | 9.0 | 0.44 | 0.44 | 0.27 | 2019-06-14 14:00 |
| 22.0 | BenchmarkMixedEffectsAPOE | 43.0 | 0.822 | 0.749 | 4.0 | 4.75 | 4.75 | 0.36 | 28.0 | 0.57 | 0.57 | 0.40 | 2019-06-14 14:00 |
| 23.0 | Tohka-Ciszek-RandomForestLin | 23.0 | 0.875 | 0.796 | 27.0 | 6.03 | 6.03 | 0.15 | 26.0 | 0.56 | 0.56 | 0.37 | 2019-06-14 14:00 |
| 24.0 | BGU-LSTM | 17.0 | 0.883 | 0.779 | 30.0 | 6.09 | 6.12 | 0.39 | 30.0 | 0.60 | 0.60 | 0.23 | 2019-06-14 14:00 |
| 25.0 | DIKU-GeneralisedLog-Custom | 19.0 | 0.878 | 0.790 | 14.5 | 5.40 | 5.40 | 0.26 | 46.5 | 1.05 | 1.05 | 0.05 | 2019-06-14 14:00 |
| 26.5 | DIKU-GeneralisedLog-Std | 20.0 | 0.877 | 0.790 | 14.5 | 5.40 | 5.40 | 0.26 | 46.5 | 1.05 | 1.05 | 0.05 | 2019-06-14 14:00 |
| 26.5 | AlgosForGood | 30.0 | 0.847 | 0.810 | 16.0 | 5.46 | 5.11 | 0.13 | 35.0 | 0.69 | 3.31 | 0.19 | 2019-06-14 14:00 |
| 28.0 | CyberBrains | 42.0 | 0.823 | 0.747 | 9.0 | 5.16 | 5.16 | 0.24 | 31.0 | 0.62 | 0.62 | 0.12 | 2019-06-14 14:00 |
| 29.0 | lmaUCL-halfD1 | 34.0 | 0.845 | 0.753 | 45.0 | 6.53 | 6.51 | 0.31 | 8.0 | 0.44 | 0.42 | 0.13 | 2019-06-14 14:00 |
| 30.0 | ATRI-Biostat-MA-2 | 13.0 | 0.893 | 0.773 | 34.0 | 6.29 | 5.92 | 0.22 | 41.0 | 1.00 | 0.91 | 0.24 | 2019-07-30 21:45 |
| 31.0 | Mayo-BAI-ASU | 59.0 | 0.691 | 0.624 | 7.0 | 4.98 | 4.98 | 0.32 | 23.0 | 0.52 | 0.52 | 0.40 | 2019-06-14 14:00 |
| 32.0 | BGU-RF | 36.0 | 0.838 | 0.673 | 36.5 | 6.33 | 6.10 | 0.35 | 21.5 | 0.50 | 0.38 | 0.26 | 2019-06-14 14:00 |
| 33.0 | ATRI-Biostat-LTJMM-2 | 18.0 | 0.883 | 0.780 | 25.0 | 6.00 | 5.68 | 0.24 | 52.0 | 1.11 | 1.09 | 0.34 | 2019-07-30 21:45 |
| 34.5 | ATRI-Biostat-JMM-2 | 15.0 | 0.892 | 0.770 | 32.0 | 6.27 | 6.02 | 0.29 | 51.0 | 1.10 | 1.06 | 0.35 | 2019-07-30 21:45 |
| 34.5 | BGU-RFFIX | 40.0 | 0.831 | 0.673 | 36.5 | 6.33 | 6.10 | 0.35 | 21.5 | 0.50 | 0.38 | 0.26 | 2019-06-14 14:00 |
| 36.0 | FortuneTellerFish-Control | 39.0 | 0.834 | 0.692 | 3.0 | 4.70 | 4.70 | 0.22 | 60.0 | 1.38 | 1.38 | 0.50 | 2019-06-14 14:00 |
| 37.0 | GlassFrog-LCMEM-HDR | 7.0 | 0.902 | 0.825 | 38.0 | 6.34 | 6.21 | 0.47 | 61.0 | 1.66 | 1.59 | 0.41 | 2019-06-14 14:00 |
| 38.0 | SBIA | 50.0 | 0.776 | 0.721 | 50.0 | 7.10 | 7.38 | 0.40 | 10.0 | 0.44 | 0.31 | 0.13 | 2019-06-14 14:00 |
| 39.0 | Chen-MCW-Stratify | 29.0 | 0.848 | 0.783 | 43.5 | 6.48 | 6.24 | 0.23 | 42.5 | 1.01 | 1.00 | 0.11 | 2019-06-14 14:00 |
| 40.0 | Rocket | 62.0 | 0.680 | 0.519 | 22.0 | 5.81 | 5.71 | 0.34 | 33.0 | 0.64 | 0.64 | 0.29 | 2019-06-14 14:00 |
| 41.0 | BenchmarkSVM | 38.0 | 0.836 | 0.764 | 47.0 | 6.82 | 6.82 | 0.42 | 37.0 | 0.86 | 0.84 | 0.50 | 2019-06-14 14:00 |
| 42.0 | Chen-MCW-Std | 37.0 | 0.836 | 0.778 | 43.5 | 6.48 | 6.24 | 0.23 | 42.5 | 1.01 | 1.00 | 0.11 | 2019-06-14 14:00 |
| 43.0 | DIKU-ModifiedMri-Custom | 44.5 | 0.807 | 0.670 | 40.5 | 6.44 | 6.44 | 0.27 | 39.5 | 0.92 | 0.92 | 0.01 | 2019-06-14 14:00 |
| 44.0 | DIVE | 57.0 | 0.708 | 0.568 | 49.0 | 7.10 | 7.10 | 0.34 | 19.0 | 0.49 | 0.49 | 0.13 | 2019-06-14 14:00 |
| 45.0 | DIKU-ModifiedMri-Std | 46.5 | 0.806 | 0.670 | 40.5 | 6.44 | 6.44 | 0.27 | 39.5 | 0.92 | 0.92 | 0.01 | 2019-06-14 14:00 |
| 46.0 | ITESMCEM | 61.0 | 0.680 | 0.657 | 31.0 | 6.26 | 6.26 | 0.35 | 38.0 | 0.92 | 0.92 | 0.43 | 2019-06-14 14:00 |
| 47.0 | BenchmarkLastVisit | 51.5 | 0.774 | 0.792 | 48.0 | 7.05 | 7.05 | 0.45 | 32.0 | 0.63 | 0.61 | 0.47 | 2019-06-14 14:00 |
| 48.0 | Sunshine-Conservative | 33.0 | 0.845 | 0.816 | 51.5 | 7.90 | 7.90 | 0.50 | 53.5 | 1.12 | 1.12 | 0.50 | 2019-06-14 14:00 |
| 49.0 | BravoLab | 53.0 | 0.771 | 0.682 | 60.0 | 8.22 | 8.22 | 0.49 | 29.0 | 0.58 | 0.58 | 0.41 | 2019-06-14 14:00 |
| 50.0 | DIKU-ModifiedLog-Custom | 44.5 | 0.807 | 0.670 | 40.5 | 6.44 | 6.44 | 0.27 | 57.5 | 1.17 | 1.17 | 0.06 | 2019-06-14 14:00 |
| 51.0 | DIKU-ModifiedLog-Std | 46.5 | 0.806 | 0.670 | 40.5 | 6.44 | 6.44 | 0.27 | 57.5 | 1.17 | 1.17 | 0.06 | 2019-06-14 14:00 |
| 52.0 | Sunshine-Std | 41.0 | 0.825 | 0.771 | 51.5 | 7.90 | 7.90 | 0.50 | 53.5 | 1.12 | 1.12 | 0.50 | 2019-06-14 14:00 |
| 53.0 | chizhu-1 | 31.0 | 0.847 | 0.496 | 65.0 | 19.01 | 19.01 | 0.50 | 66.0 | 94.31 | 94.31 | 0.41 | 2019-08-22 06:28 |
| 54.5 | chizhu-3 | 64.5 | 0.641 | 0.653 | 54.5 | 8.01 | 8.01 | 0.43 | 44.5 | 1.02 | 1.02 | 0.50 | 2019-08-22 07:05 |
| 54.5 | chizhu-4 | 64.5 | 0.641 | 0.653 | 54.5 | 8.01 | 8.01 | 0.43 | 44.5 | 1.02 | 1.02 | 0.50 | 2019-08-22 07:14 |
| 56.0 | Billabong-UniAV45 | 55.0 | 0.720 | 0.616 | 61.5 | 9.22 | 8.82 | 0.29 | 49.5 | 1.09 | 0.99 | 0.45 | 2019-06-14 14:00 |
| 57.0 | Billabong-Uni | 56.0 | 0.718 | 0.622 | 61.5 | 9.22 | 8.82 | 0.29 | 49.5 | 1.09 | 0.99 | 0.45 | 2019-06-14 14:00 |
| 58.0 | chizhu-5 | 60.0 | 0.687 | 0.653 | 57.0 | 8.03 | 8.03 | 0.43 | 62.0 | 2.95 | 2.95 | 0.40 | 2019-08-22 09:43 |
| 59.5 | chizhu-5_dvXMdTe | 58.0 | 0.694 | 0.653 | 58.0 | 8.06 | 8.06 | 0.43 | 65.0 | 2.97 | 2.97 | 0.40 | 2019-09-28 03:23 |
| 59.5 | Billabong-Multi | 67.0 | 0.541 | 0.556 | 66.0 | 27.01 | 19.90 | 0.46 | 48.0 | 1.07 | 1.07 | 0.45 | 2019-06-14 14:00 |
| 61.5 | chizhu-1_Dr22rrB | 64.5 | 0.641 | 0.653 | 54.5 | 8.01 | 8.01 | 0.43 | 63.5 | 2.97 | 2.97 | 0.40 | 2019-08-22 06:53 |
| 61.5 | chizhu-2 | 64.5 | 0.641 | 0.653 | 54.5 | 8.01 | 8.01 | 0.43 | 63.5 | 2.97 | 2.97 | 0.40 | 2019-08-22 06:58 |
| 63.0 | Billabong-MultiAV45 | 68.0 | 0.527 | 0.530 | 67.0 | 28.45 | 21.22 | 0.47 | 55.0 | 1.13 | 1.07 | 0.47 | 2019-06-14 14:00 |
| 64.0 | BIGS2 | 69.0 | 0.455 | 0.488 | 63.0 | 11.62 | 14.65 | 0.50 | 59.0 | 1.20 | 1.12 | 0.07 | 2019-06-14 14:00 |
| 999 | Threedays | 3.0 | 0.921 | 0.823 | - | - | - | - | - | - | - | - | 2019-06-14 14:00 |
| 999 | ARAMIS-Pascal | 21.0 | 0.876 | 0.850 | - | - | - | - | - | - | - | - | 2019-06-14 14:00 |
| 999 | IBM-OZ-Res | 24.0 | 0.868 | 0.766 | - | - | - | - | 56.0 | 1.15 | 1.15 | 0.50 | 2019-06-14 14:00 |
| 999 | Orange | 51.5 | 0.774 | 0.792 | - | - | - | - | - | - | - | - | 2019-06-14 14:00 |
| 999 | SMALLHEADS-NeuralNet | 54.0 | 0.737 | 0.605 | 64.0 | 13.87 | 13.87 | 0.41 | - | - | - | - | 2019-06-14 14:00 |
| 999 | SMALLHEADS-LinMixedEffects | - | - | - | 59.0 | 8.09 | 7.94 | 0.04 | - | - | - | - | 2019-06-14 14:00 |
| 999 | Tohka-Ciszek-SMNSR | - | - | - | 23.0 | 5.87 | 5.87 | 0.14 | - | - | - | - | 2019-06-14 14:00 |
| 999 | uncchit-v2 | - | - | - | - | - | - | - | 1.0 | 0.39 | 0.33 | 0.35 | 2020-06-02 11:24 |
Live Leaderboard for cross-sectional prediction set (D3)
Table last updated on 2020-01-16 11:45 (BST +0). Update frequency: ad hoc basis (contact: tadpole@cs.ucl.ac.uk)
| RANK |
FILE NAME | MAUC RANK | MAUC | BCA | ADAS RANK | ADAS MAE | ADAS WES | ADAS CPA | VENTS RANK | VENTS MAE | VENTS WES | VENTS CPA | DATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0 | GlassFrog-Average | 3.0 | 0.897 | 0.826 | 7.0 | 5.86 | 5.57 | 0.25 | 3.0 | 0.68 | 0.55 | 0.24 | 2019-06-14 14:00 |
| 2.0 | GlassFrog-LCMEM-HDR | 3.0 | 0.897 | 0.826 | 12.0 | 6.57 | 6.56 | 0.34 | 1.0 | 0.48 | 0.38 | 0.24 | 2019-06-14 14:00 |
| 3.0 | GlassFrog-SM | 3.0 | 0.897 | 0.826 | 6.0 | 5.77 | 5.77 | 0.19 | 9.0 | 0.82 | 0.55 | 0.07 | 2019-06-14 14:00 |
| 4.0 | Tohka-Ciszek-RandomForestLin | 11.0 | 0.865 | 0.786 | 4.0 | 4.92 | 4.92 | 0.10 | 10.0 | 0.83 | 0.83 | 0.35 | 2019-06-14 14:00 |
| 5.0 | ATRI-Biostat-LTJMM-2 | 12.0 | 0.862 | 0.811 | 3.0 | 4.86 | 4.26 | 0.00 | 13.0 | 0.93 | 0.95 | 0.22 | 2019-07-30 21:45 |
| 6.5 | VikingAI-Logistic | 8.0 | 0.876 | 0.768 | 8.0 | 5.94 | 5.91 | 0.22 | 23.0 | 1.04 | 1.01 | 0.18 | 2019-06-14 14:00 |
| 6.5 | Rocket | 10.0 | 0.865 | 0.771 | 5.0 | 5.27 | 5.14 | 0.39 | 24.0 | 1.06 | 1.06 | 0.27 | 2019-06-14 14:00 |
| 8.0 | ATRI-Biostat-MA-2 | 19.0 | 0.841 | 0.801 | 9.0 | 6.12 | 5.42 | 0.12 | 12.0 | 0.92 | 0.94 | 0.22 | 2019-07-30 21:45 |
| 10.0 | lmaUCL-Std | 14.0 | 0.854 | 0.698 | 21.0 | 6.95 | 6.93 | 0.05 | 6.0 | 0.81 | 0.81 | 0.22 | 2019-06-14 14:00 |
| 10.0 | lmaUCL-Covariates | 14.0 | 0.854 | 0.698 | 21.0 | 6.95 | 6.93 | 0.05 | 6.0 | 0.81 | 0.81 | 0.22 | 2019-06-14 14:00 |
| 10.0 | lmaUCL-halfD1 | 14.0 | 0.854 | 0.698 | 21.0 | 6.95 | 6.93 | 0.05 | 6.0 | 0.81 | 0.81 | 0.22 | 2019-06-14 14:00 |
| 12.0 | ATRI-Biostat-JMM-2 | 18.0 | 0.842 | 0.801 | 14.0 | 6.67 | 6.15 | 0.31 | 11.0 | 0.90 | 0.91 | 0.25 | 2019-07-30 21:45 |
| 13.0 | EMC1-Std | 31.0 | 0.705 | 0.567 | 10.0 | 6.29 | 6.19 | 0.47 | 4.0 | 0.80 | 0.62 | 0.48 | 2019-06-14 14:00 |
| 14.0 | SBIA | 30.0 | 0.779 | 0.782 | 13.0 | 6.63 | 6.43 | 0.40 | 8.0 | 0.82 | 0.75 | 0.18 | 2019-06-14 14:00 |
| 16.5 | BGU-LSTM | 6.0 | 0.877 | 0.776 | 18.0 | 6.75 | 6.17 | 0.39 | 28.0 | 1.11 | 0.79 | 0.17 | 2019-06-14 14:00 |
| 16.5 | BGU-RFFIX | 6.0 | 0.877 | 0.776 | 18.0 | 6.75 | 6.17 | 0.39 | 28.0 | 1.11 | 0.79 | 0.17 | 2019-06-14 14:00 |
| 16.5 | BGU-RF | 6.0 | 0.877 | 0.776 | 18.0 | 6.75 | 6.17 | 0.39 | 28.0 | 1.11 | 0.79 | 0.17 | 2019-06-14 14:00 |
| 16.5 | BenchmarkMixedEffects | 20.0 | 0.839 | 0.728 | 1.0 | 4.23 | 4.23 | 0.34 | 31.0 | 1.13 | 1.13 | 0.50 | 2019-06-14 14:00 |
| 19.0 | BravoLab | 22.0 | 0.813 | 0.730 | 31.0 | 8.02 | 8.02 | 0.47 | 2.0 | 0.64 | 0.64 | 0.42 | 2019-06-14 14:00 |
| 20.5 | BORREGOTECMTY | 16.0 | 0.852 | 0.748 | 11.0 | 6.44 | 5.86 | 0.46 | 32.0 | 1.14 | 1.02 | 0.49 | 2019-06-14 14:00 |
| 20.5 | CyberBrains | 21.0 | 0.830 | 0.755 | 2.0 | 4.72 | 4.72 | 0.21 | 36.0 | 1.54 | 1.54 | 0.50 | 2019-06-14 14:00 |
| 22.0 | EMC-EB | 9.0 | 0.869 | 0.765 | 30.0 | 7.71 | 7.91 | 0.50 | 22.0 | 1.03 | 1.07 | 0.49 | 2019-06-14 14:00 |
| 23.0 | DIKU-GeneralisedLog-Std | 23.0 | 0.798 | 0.684 | 24.5 | 6.99 | 6.99 | 0.17 | 18.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 24.0 | DIKU-GeneralisedLog-Custom | 24.0 | 0.798 | 0.681 | 24.5 | 6.99 | 6.99 | 0.17 | 18.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 25.0 | Billabong-Uni | 32.0 | 0.704 | 0.626 | 15.5 | 6.69 | 6.69 | 0.38 | 20.5 | 0.98 | 0.98 | 0.48 | 2019-06-14 14:00 |
| 26.5 | DIKU-ModifiedLog-Std | 25.5 | 0.798 | 0.688 | 27.5 | 7.10 | 7.10 | 0.17 | 15.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 26.5 | DIKU-ModifiedMri-Std | 25.5 | 0.798 | 0.688 | 27.5 | 7.10 | 7.10 | 0.17 | 15.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 28.0 | Billabong-UniAV45 | 33.0 | 0.703 | 0.620 | 15.5 | 6.69 | 6.69 | 0.38 | 20.5 | 0.98 | 0.98 | 0.48 | 2019-06-14 14:00 |
| 29.5 | DIKU-ModifiedLog-Custom | 27.5 | 0.798 | 0.691 | 27.5 | 7.10 | 7.10 | 0.17 | 15.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 29.5 | DIKU-ModifiedMri-Custom | 27.5 | 0.798 | 0.691 | 27.5 | 7.10 | 7.10 | 0.17 | 15.5 | 0.95 | 0.95 | 0.05 | 2019-06-14 14:00 |
| 31.0 | CBIL | 17.0 | 0.847 | 0.780 | 35.0 | 10.99 | 11.65 | 0.49 | 30.0 | 1.12 | 1.12 | 0.39 | 2019-06-14 14:00 |
| 32.0 | BenchmarkLastVisit | 29.0 | 0.785 | 0.771 | 23.0 | 6.97 | 7.07 | 0.42 | 34.0 | 1.17 | 0.64 | 0.11 | 2019-06-14 14:00 |
| 33.0 | Billabong-MultiAV45 | 34.0 | 0.682 | 0.603 | 32.5 | 9.30 | 9.30 | 0.43 | 25.5 | 1.09 | 1.09 | 0.49 | 2019-06-14 14:00 |
| 34.0 | Billabong-Multi | 35.0 | 0.681 | 0.605 | 32.5 | 9.30 | 9.30 | 0.43 | 25.5 | 1.09 | 1.09 | 0.49 | 2019-06-14 14:00 |
| 35.0 | BenchmarkSVM | 37.0 | 0.494 | 0.490 | 34.0 | 10.01 | 10.01 | 0.42 | 33.0 | 1.15 | 1.18 | 0.50 | 2019-06-14 14:00 |
| 36.0 | DIVE | 36.0 | 0.512 | 0.498 | 36.0 | 16.66 | 16.74 | 0.41 | 35.0 | 1.42 | 1.42 | 0.34 | 2019-06-14 14:00 |
| 999 | IBM-OZ-Res | 1.0 | 0.905 | 0.830 | - | - | - | - | 37.0 | 1.77 | 1.77 | 0.50 | 2019-06-14 14:00 |
Legend:
- MAUC - Multiclass Area Under the Curve
- BCA - Balanced Classification Accuracy
- MAE - Mean Absolute Error
- WES - Weighted Error Score
- CPA - Coverage Probability Accuracy for 50% Confidence Interval
- ADAS - Alzheimer's Disease Assessment Scale Cognitive (13)
- VENTS - Ventricle Volume
- RANK - We first compute the sum of ranks from MAUC, ADAS MAE and VENTS MAE, then derive the final ranking from these sums of ranks. For example, the top leaderboard entry will have the lowest sum of ranks from these three categories.
Methods description for new leaderboard entries
For the new leaderboard entries you are happy with, please write a short description of the algorithm you used here. This way, the community can have an idea of the approach you used, and are able to cite any papers/code that you link there.
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