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Regression on Bike Sharing

0.44RMSESDAMI
0.398240.680120.9621.24388Sep 27, 2025Nov 3, 2025Dec 10, 2025Jan 16, 2026Feb 22, 2026Mar 31, 2026May 8, 2026

Evaluation results

MethodLinks
SDAMIScale=×0.012025.090.44———
DNNScale=×0.012025.090.459———
LASSONETScale=×0.012025.090.468———
NODE-GA2MScale=×0.012025.090.554———
GAMI-NETScale=×0.012025.090.592———
NAMScale=×0.012025.091.001———
NODE-GAMScale=×0.012025.091.001———
DTSemNet Top-kHeight=6, Number of features (Nf)=6, Number of training samples (Ns)=121652026.051.15———
DTSemNet STEHeight=6, Number of features (Nf)=6, Number of training samples (Ns)=121652026.051.18———
DGT-LinearHeight=6, Number of features (Nf)=6, Number of training samples (Ns)=121652026.051.22———
CARTNumber of features (Nf)=6, Number of training samples (Ns)=121652026.051.22———
LASSOScale=×0.012025.091.434———
fSpAMScale=×0.012025.091.484———
ChebyKANFLOPs=1140, Param.=4652024.05——0.0642—
FastKANFLOPs=2409, Param.=8892024.05——0.0863—
FourierKANFLOPs=2175, Param.=9402024.05——0.0637—
KANFLOPs=3711, Param.=8372024.05——0.064—
Non-privateDifferential Privacy=None2026.06———0.218
Offline Random Forest Regression (RFR)Training mode=Offline, Access=Unlimited access to dataset2026.02—10,259.60.676—
PromptPATEepsilon=10, Requires public data=true2026.06———0.531
Prototype-based generative replay frameworkConfiguration=Best config, Learning mode=Incremental/Online2026.02—15,4300.514—
TabPATEepsilon=10, alpha=0, Requires public data=false2026.06———0.617
TabPATEepsilon=10, alpha=0.05, Requires public data=false2026.06———0.601
TNFLOPs=888, Param.=9192024.05——0.0076—