Time-series Classification on SpokenArabicDigits (SAD) (test)
98.5AccuracyBaseline staged
Evaluation Results
| Method | Links | |
|---|---|---|
| Baseline stagedm (number of modalities)=1, dm (number of variates)=13, Tm (sequence length)=93, C (number of classes)=10, Train size=6599, Test size=21992026.03 | 98.5 | |
| LLM NASm (number of modalities)=1, dm (number of variates)=13, Tm (sequence length)=93, C (number of classes)=10, Train size=6599, Test size=2199, NAS search budget (cycles)=102026.03 | 98.5 | |
| Previous workm (number of modalities)=1, dm (number of variates)=13, Tm (sequence length)=93, C (number of classes)=10, Train size=6599, Test size=21992026.03 | 98.3 | |
| Baseline end-to-endm (number of modalities)=1, dm (number of variates)=13, Tm (sequence length)=93, C (number of classes)=10, Train size=6599, Test size=21992026.03 | 95.2 | |
| MIHT2026.03 | 93.3 | |
| Incept time2026.03 | 69.1 | |
| kNN DTW2026.03 | 65.2 | |
| ROCKET2026.03 | 63.6 | |
| MUSE2026.03 | 60.8 | |
| SVM Linear2026.03 | 52.4 | |
| kNN ED2026.03 | 48.6 | |
| SVM RBF2026.03 | 48.3 | |
| ST2026.03 | 38.4 |