Quick links for this year's Challenge:
This page contains the final scores for the 2020 PhysioNet/CinC Challenge:
We introduced a new scoring metric for this Challenge. We used this scoring metric to evaluate and rank the Challenge entries. We included several other metrics for reference. The area under the receiver operating characteristic (AUROC), area under the precision recall curve (AUPRC), and F-measure scores are the macro-average of the scores across all classes. The accuracy metric is the fraction of correctly diagnosed recordings, i.e., all classes for the recording are correct. These metrics were computed by the evaluate_12ECG_score.py script. Please see the script for more details of these scores.
We included the scores on the following datasets:
To refer to these tables in a publication, please cite Perez Alday EA, Gu A, Shah AJ, Robichaux C, Wong AI, Liu C, Liu F, Rad AB, Elola A, Seyedi S, Li Q, Sharma A, Clifford GD*, Reyna MA*. Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiol Meas. 41 (2020). doi: 10.1088/1361-6579/abc960.
In these tables, you can find the following information:
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.