MI vs. Normal Classification on PTB-XL Full sequence
95.83AccuracyArsenal
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ArsenalModel Type=Kernel-Based, Latency (ms)=6314.012026.07 | 95.83 | 96.88 | 94.26 | 98.42 | 95.55 | |
| RocketModel Type=Kernel-Based, Latency (ms)=304.052026.07 | 95.51 | 96.85 | 93.58 | 98.45 | 95.19 | |
| InceptionTimeModel Type=Deep Learning, Latency (ms)=11.122026.07 | 92.94 | 94.68 | 90.2 | 95.85 | 92.39 | |
| ResNetModel Type=Deep Learning, Latency (ms)=7.452026.07 | 89.89 | 88.96 | 89.86 | 89.86 | 89.41 | |
| LSTM-FCNModel Type=Deep Learning, Latency (ms)=4.452026.07 | 87.96 | 85.53 | 89.86 | 85.85 | 87.64 | |
| CNNModel Type=Deep Learning, Latency (ms)=0.642026.07 | 78.97 | 74.05 | 85.81 | 74.02 | 79.5 | |
| MCDCNNModel Type=Deep Learning, Latency (ms)=1.832026.07 | 77.69 | 77.74 | 74.32 | 80.17 | 75.99 | |
| GRUModel Type=Deep Learning, Latency (ms)=33.582026.07 | 58.75 | 56.66 | 56.08 | 61.03 | 56.37 |