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ResearchFormerly WizWand

Classification on HAR (Accuracy)

0.9577AccuracyFull-Dimensional
0.1684440.3733470.578250.783153Feb 26, 2017Sep 15, 2018Apr 4, 2020Oct 23, 2021May 12, 2023Nov 29, 2024Jun 19, 2026
Updated 4mo ago

Evaluation results

MethodLinks
Full-Dimensional2017.020.9577
CAENumber of selected features=502020.120.917
QuickSelectionNumber of selected features=50, Hyperparameter tuning=Grid search2020.120.905
PCAK=202017.020.9037
QuickSelectionNumber of selected features=50, Epochs=1002020.120.902
MCFSNumber of selected features=502020.120.889
QuickSelectionNumber of selected features=50, Epochs=102020.120.888
AEFSNumber of selected features=502020.120.877
FCAENumber of selected features=502020.120.874
LSNumber of selected features=502020.120.864
SLeDGeLabel Ratio=1.0%2026.060.8242
SLeDGeLabel ratio=1.0%2026.060.8242
Random ProjectionK=202017.020.8172
DCAK=202017.020.7941
SLeDGe-LLabel Ratio=1.0%2026.060.7778
SLeDGe-LLabel ratio=1.0%2026.060.7778
RUCAK=20, rho_p=12017.020.747
MDRK=202017.020.7346
RUCAK=20, rho_p=102017.020.7021
RUCAK=20, rho_p=1002017.020.6984
RUCAK=20, rho_p=10002017.020.6981
HDSSLLabel Ratio=1.0%2026.060.6682
HDSSLLabel ratio=1.0%2026.060.6682
Full-Dimensional2017.020.6485
SLeDGeLabel Ratio=0.1%2026.060.6083
SLeDGeLabel ratio=0.1%2026.060.6083
SLeDGe-LLabel Ratio=0.1%2026.060.6057
SLeDGe-LLabel ratio=0.1%2026.060.6057
ReSSLLabel Ratio=1.0%2026.060.6032
ReSSLLabel ratio=1.0%2026.060.6032
RUCAK=20, rho_p=102017.020.5906
RUCAK=20, rho_p=1002017.020.5905
RUCAK=20, rho_p=10002017.020.5903
RUCAK=20, rho_p=12017.020.5891
DCAK=202017.020.5852
MDRK=202017.020.5257
PCAK=202017.020.5007
Random ProjectionK=202017.020.3847
ReSSLLabel Ratio=0.1%2026.060.3844
ReSSLLabel ratio=0.1%2026.060.3844
TLPLabel Ratio=0.1%2026.060.2236
TLPLabel ratio=0.1%2026.060.2236
HDSSLLabel Ratio=0.1%2026.060.2087
HDSSLLabel ratio=0.1%2026.060.2087
TLPLabel Ratio=1.0%2026.060.1988
TLPLabel ratio=1.0%2026.060.1988