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ResearchFormerly WizWand

Classification on HAR (test)

99.07AccuracyXGBoost
11.356434.128256.979.6718Feb 26, 2017Sep 15, 2018Apr 4, 2020Oct 22, 2021May 12, 2023Nov 28, 2024Jun 18, 2026
Updated 4mo ago

Evaluation results

MethodLinks
XGBoost2026.0699.07
NA2M-FSK1=500, K2=5002026.0699
NBM2026.0698.79
NAM-FSK1=5002026.0698.77
NODE-GA2M2026.0698.67
NB2M-FSK1=500, K2=5002026.0698.63
NA2M-FSK1=50, K2=502026.0698.59
NBM-FSK1=5002026.0698.58
MLP2026.0698.52
NAM2026.0698.5
NODE-GAM2026.0698.45
EBM2026.0698.35
LR2026.0698.2
NB2M-FSK1=50, K2=502026.0698.16
NAM-FSK1=502026.0697.64
NBM-FSK1=502026.0697.39
Decision Tree2026.0693.88
ATDPre-training=unsupervised, Evaluation protocol=supervised LR2021.0693.35
ATD# of Params.=2,6882021.0693.35
Full-DimensionalClassifier=RBF SVM2017.0293.01
ATDSS-# of Params.=2,6882021.0692.41
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=1, Classifier=RBF SVM2017.0292.37
GR-SALS# of Params.=2,6882021.0692.33
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=10, Classifier=RBF SVM2017.0292.24
DCAProjection Method=DCA, K (Dimensionality)=5, Classifier=RBF SVM2017.0292.07
SALS# of Params.=2,6882021.0691.86
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=100, Classifier=RBF SVM2017.0291.34
PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=02024.0891.1
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=1000, Classifier=RBF SVM2017.0290.99
CLAEEvaluation Protocol=Softmax Regression (SR)2024.0890.8
PiNDA + CLAEEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.0890.52
MDRProjection Method=MDR, K (Dimensionality)=5, Classifier=RBF SVM2017.0289.68
PiNDA + CLAEEvaluation Protocol=kNN, mu=02024.0886.34
PiNDAEvaluation Protocol=Softmax Regression (SR), mu=02024.0886.2
PiNDA + CLAEEvaluation Protocol=kNN, mu=learnable2024.0885.89
UMLDAPre-training=supervised, Evaluation protocol=supervised LR2021.0685.73
CLAEEvaluation Protocol=kNN2024.0885.71
PiNDAEvaluation Protocol=Softmax Regression (SR), mu=learnable2024.0881.33
STLEvaluation protocol=end-to-end supervised2021.0680.52
PCAProjection Method=PCA, K (Dimensionality)=5, Classifier=RBF SVM2017.0279.61
PiNDAEvaluation Protocol=kNN, mu=learnable2024.0878.09
Random NoiseEvaluation Protocol=kNN2024.0877.76
Random NoiseEvaluation Protocol=Softmax Regression (SR)2024.0877.62
PiNDAEvaluation Protocol=kNN, mu=02024.0877.14
SimCLR-128# of Params.=65,6702021.0676.69
SimCLR-32# of Params.=53,2862021.0674.75
BYOL-32# of Params.=54,3422021.0673.71
AES-128# of Params.=87,6122021.0672.43
BYOL-128# of Params.=82,1822021.0671.79
AES-32# of Params.=62,9402021.0671.7
SimCLEvaluation Protocol=Softmax Regression (SR)2024.0863.92
AE-32# of Params.=62,9402021.0663.13
Full-DimensionalClassifier=RBF SVM2017.0262.64
SimCLEvaluation Protocol=kNN2024.0861.12
AE-128# of Params.=87,6122021.0660.52
Random ProjectionProjection Method=Random Projection, K (Dimensionality)=5, Classifier=RBF SVM2017.0256.14
PCAProjection Method=PCA, K (Dimensionality)=5, Classifier=RBF SVM2017.0230.2
DCAProjection Method=DCA, K (Dimensionality)=5, Classifier=RBF SVM2017.0223.95
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=1, Classifier=RBF SVM2017.0222.98
MDRProjection Method=MDR, K (Dimensionality)=5, Classifier=RBF SVM2017.0222.53
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=10, Classifier=RBF SVM2017.0221.98
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=100, Classifier=RBF SVM2017.0221.2
RUCAProjection Method=RUCA, K (Dimensionality)=5, Privacy Parameter (ρp)=1000, Classifier=RBF SVM2017.0220.93
Random ProjectionProjection Method=Random Projection, K (Dimensionality)=5, Classifier=RBF SVM2017.0214.73