OMI vs. non-OMI Classification on ECG-Matrix Segmented
88.89AccuracyRocket
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RocketModel Type=Kernel-Based, Latency (ms)=540.812026.07 | 88.89 | 85.71 | 91.72 | 86.36 | 88.62 | |
| ArsenalModel Type=Kernel-Based, Latency (ms)=2741.942026.07 | 88.29 | 85.54 | 90.45 | 86.33 | 87.93 | |
| InceptionTimeModel Type=Deep Learning, Latency (ms)=1.082026.07 | 86.34 | 84.74 | 86.62 | 86.08 | 85.67 | |
| MCDCNNModel Type=Deep Learning, Latency (ms)=0.902026.07 | 85.44 | 84.01 | 85.35 | 85.53 | 84.68 | |
| LSTM-FCNModel Type=Deep Learning, Latency (ms)=0.692026.07 | 85.29 | 86.73 | 81.21 | 88.92 | 83.88 | |
| MLPModel Type=Deep Learning, Latency (ms)=0.262026.07 | 82.13 | 84.21 | 76.43 | 87.22 | 80.13 | |
| ResNetModel Type=Deep Learning, Latency (ms)=1.012026.07 | 80.63 | 80.33 | 78.03 | 82.95 | 79.16 | |
| CNNModel Type=Deep Learning, Latency (ms)=0.262026.07 | 70.12 | 68.25 | 68.47 | 71.59 | 68.36 | |
| GRUModel Type=Deep Learning, Latency (ms)=7.002026.07 | 56.91 | 54.4 | 53.18 | 59 | 53.78 |