Ecg Classification On Physionet Challenge
評価指標
Accuracy(stratified10-fold)
F1(stratified10-fold)
F2(stratified10-fold)
G2(stratified10-fold)
PhysioNet/CinC Challenge Score(stratified10-fold)
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | Accuracy(stratified10-fold) | F1(stratified10-fold) | F2(stratified10-fold) | G2(stratified10-fold) | PhysioNet/CinC Challenge Score(stratified10-fold) | Paper Title | Repository |
|---|---|---|---|---|---|---|---|
| 1D CNN Fully Convolutional Network | 0,13±0,02 | 0,28±0,01 | 0,36±0,02 | 0,15±0,01 | 0,36±0,01 | Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs | |
| 1D CNN Encoder | 0,20±0,02 | 0,35±0,01 | 0,40±0,01 | 0,19±0,01 | 0,37±0,03 | Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs |
0 of 2 row(s) selected.