PAMAP2
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Human Activity Recognition | PAMAP2 | Accuracy98.6 | 66 | |
| Time-series Classification | PAMAP2 | Accuracy97 | 60 | |
| Physical Activity Recognition | PAMAP2 | Acc99.89 | 55 | |
| Classification | PAMAP2 | F1 Score95.6 | 48 | |
| Classification | PAMAP2 original and sensor dropout | Accuracy94.8 | 48 | |
| Cross-Position Human Activity Recognition | PAMAP2 | Micro F1 Score53.23 | 28 | |
| Human Activity Recognition | PAMAP2 | Total Energy (µJ)0.27 | 28 | |
| Human Activity Recognition | PAMAP2 (test) | Accuracy98 | 28 | |
| Activity Recognition | PAMAP2 | Accuracy99.04 | 22 | |
| Human Activity Recognition | PAMAP2 Subject-Hold-Out | Accuracy76.7 | 14 | |
| Human Activity Recognition | PAMAP2 original irregular sampling | Accuracy94.8 | 13 | |
| Short-context classification | PAMAP2 gyro | Accuracy73.38 | 12 | |
| Short-context classification | PAMAP2 acc | Accuracy (PAMAP2)80.72 | 12 | |
| Anomaly Detection | PAMAP2 (test) | Mean Precision (mPre)96.08 | 11 | |
| Clustering | PAMAP2 | ARI39.5 | 10 | |
| Clustering | PAMAP2 (test) | ARI0.533 | 10 | |
| Human Activity Recognition | PAMAP2 4 unseen classes (test) | Overall Accuracy73 | 9 | |
| Classification | PAMAP2 50% Missing | Accuracy52 | 8 | |
| Classification | PAMAP2 40% Missing | Accuracy58.1 | 8 | |
| Classification | PAMAP2 (30% Missing) | Accuracy67.3 | 8 | |
| Classification | PAMAP2 20% Missing | Accuracy77 | 8 | |
| Classification | PAMAP2 10% Missing | Accuracy86.6 | 8 | |
| Classification | PAMAP2 50% sensor dropout | Precision66.3 | 8 | |
| Classification | PAMAP2 40% sensor dropout | Precision67.7 | 8 | |
| Classification | PAMAP2 30% sensor dropout | Precision75.1 | 8 |
Showing 25 of 44 rows