BAV classification on BAV outer (test)
89.8AccuracyCalibrated multi-backbone ensemble
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Calibrated multi-backbone ensembleSeed=7, Cross-validation=3-fold stratified2026.05 | 89.8 | 94.5 | 88.1 | 91.2 | 85.2 | 88.9 | 14.8 | |
| Calibrated multi-backbone ensembleSeed=3, Cross-validation=3-fold stratified2026.05 | 89.7 | 94.4 | 88 | 91.1 | 85.1 | 88.8 | 14.7 | |
| Calibrated multi-backbone ensembleSeed=1, Cross-validation=3-fold stratified2026.05 | 89.6 | 94.3 | 87.9 | 90.9 | 84.8 | 88.4 | 14.8 | |
| Calibrated multi-backbone ensembleSeed=9, Cross-validation=3-fold stratified2026.05 | 89.5 | 94.2 | 87.8 | 90.8 | 84.9 | 88.7 | 14.9 | |
| Calibrated multi-backbone ensembleSeed=6, Cross-validation=3-fold stratified2026.05 | 89.4 | 94.1 | 87.7 | 90.8 | 85 | 88.5 | 14.9 | |
| Calibrated multi-backbone ensembleAggregate=Mean ± SD, Cross-validation=3-fold stratified2026.05 | 89.4 | 94.1 | 87.7 | 90.7 | 84.9 | 88.5 | 14.9 | |
| Calibrated multi-backbone ensembleSeed=4, Cross-validation=3-fold stratified2026.05 | 89.3 | 93.9 | 87.6 | 90.6 | 84.9 | 88.6 | 14.9 | |
| Calibrated multi-backbone ensembleSeed=10, Cross-validation=3-fold stratified2026.05 | 89.3 | 94 | 87.6 | 90.6 | 85 | 88.6 | 15 | |
| Calibrated multi-backbone ensembleSeed=2, Cross-validation=3-fold stratified2026.05 | 89.2 | 94 | 87.5 | 90.5 | 84.6 | 88.1 | 15 | |
| Calibrated multi-backbone ensembleSeed=8, Cross-validation=3-fold stratified2026.05 | 89.1 | 93.9 | 87.4 | 90.4 | 84.8 | 88.4 | 15.1 | |
| Calibrated multi-backbone ensembleSeed=5, Cross-validation=3-fold stratified2026.05 | 89 | 93.8 | 87.3 | 90.3 | 84.7 | 88.3 | 15 |