Classification on SLEEPM
85.221NN AccuracySimMTM
Evaluation results
| Method | Links | |
|---|---|---|
| SimMTMEvaluation protocol=Linear probing, Total Training Time (h)=10.232026.06 | 85.22 | |
| ShiFTEvaluation protocol=Linear probing, Total Training Time (h)=2.352026.06 | 85.22 | |
| SimCLREvaluation protocol=Linear probing, Total Training Time (h)=3.112026.06 | 85.15 | |
| TS2VecEvaluation protocol=Linear probing, Total Training Time (h)=3.022026.06 | 84.81 | |
| Rand Init.Evaluation protocol=Linear probing, Total Training Time (h)=<0.012026.06 | 82.26 | |
| InfoTSEvaluation protocol=Linear probing, Total Training Time (h)=2.912026.06 | 82.13 | |
| ShiFTTemperature (tau)=0.1, Evaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 65.36 | |
| ShiFTTemperature (tau)=1.0, Evaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 65.36 | |
| SimCLREvaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 64.9 | |
| SimMTMEvaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 64.51 | |
| TS2VecEvaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 64.13 | |
| InfoTSEvaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 58.68 | |
| Rand Init.Evaluation protocol=1NN classifier, Reference set sampling=balanced 1% sample, Number of random seeds=52026.06 | 57.62 |