Pre- vs. Post-Procedural MI Classification on ECG-Matrix Undersampled
90.53AccuracyInceptionTime
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| InceptionTimeModel Type=Deep Learning, Latency (ms)=2.002026.07 | 90.53 | 89.54 | 89.54 | 91.35 | 89.54 | |
| MCDCNNModel Type=Deep Learning, Latency (ms)=2.042026.07 | 88.46 | 90.71 | 83.01 | 92.06 | 86.69 | |
| LSTM-FCNModel Type=Deep Learning, Latency (ms)=0.782026.07 | 86.69 | 86 | 84.31 | 89 | 85.15 | |
| RocketModel Type=Kernel-Based, Latency (ms)=342.112026.07 | 86.39 | 87.94 | 81.05 | 93.76 | 84.35 | |
| ArsenalModel Type=Kernel-Based, Latency (ms)=1462.742026.07 | 86.39 | 87.41 | 81.7 | 93.38 | 84.46 | |
| ResNetModel Type=Deep Learning, Latency (ms)=1.852026.07 | 83.73 | 84.03 | 79.08 | 85.55 | 81.48 | |
| MLPModel Type=Deep Learning, Latency (ms)=0.262026.07 | 83.43 | 81.29 | 82.35 | 84.32 | 81.82 | |
| CNNModel Type=Deep Learning, Latency (ms)=0.322026.07 | 71.6 | 71.43 | 62.09 | 75.34 | 66.43 | |
| GRUModel Type=Deep Learning, Latency (ms)=2.442026.07 | 56.51 | 51.88 | 54.25 | 59.28 | 53.04 |