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Time Series Forecasting on Noisy Almost Periodic Functions (test)

0.922R2TCN
-0.78464-0.341570.10150.54457Sep 3, 2025

Evaluation results

MethodLinks
TCNlag=40, sigma=0.22025.090.9220.182
AR-KANlag=30, sigma=0.22025.090.9130.191
AR-KANlag=40, sigma=0.22025.090.9070.188
TCNlag=30, sigma=0.22025.090.9030.201
AR-KANlag=20, sigma=0.22025.090.8950.208
TCNlag=20, sigma=0.22025.090.8880.221
ARIMAlag=40, sigma=0.22025.090.8680.217
FANlag=30, sigma=0.22025.090.8220.274
ARIMAlag=30, sigma=0.22025.090.7820.28
Time-LLMlag=40, sigma=0.22025.090.7650.308
AR-KANlag=40, sigma=0.42025.090.760.364
Time-LLMlag=30, sigma=0.22025.090.7590.307
AR-KANlag=30, sigma=0.42025.090.7490.368
TimesNetlag=30, sigma=0.22025.090.7380.308
TimesNetlag=40, sigma=0.22025.090.7250.329
AR-KANlag=20, sigma=0.42025.090.7180.394
ARIMAlag=20, sigma=0.22025.090.7080.324
FANlag=40, sigma=0.22025.090.7080.341
TCNlag=30, sigma=0.42025.090.6760.413
TCNlag=20, sigma=0.42025.090.6520.438
FANlag=40, sigma=0.42025.090.6510.433
ARIMAlag=20, sigma=0.42025.090.6330.457
ARIMAlag=30, sigma=0.42025.090.6070.445
TCNlag=40, sigma=0.42025.090.6060.429
LSTMlag=40, sigma=0.22025.090.6010.397
Time-LLMlag=40, sigma=0.42025.090.5890.461
LSTMlag=30, sigma=0.22025.090.5750.388
ARIMAlag=40, sigma=0.42025.090.5670.457
LSTMlag=40, sigma=0.42025.090.5590.486
TimesNetlag=40, sigma=0.42025.090.5480.482
Time-LLMlag=30, sigma=0.42025.090.5380.477
TimesNetlag=30, sigma=0.42025.090.5060.493
Time-LLMlag=20, sigma=0.22025.090.3040.614
Time-LLMlag=20, sigma=0.42025.090.290.663
FANlag=20, sigma=0.22025.090.2760.592
TimesNetlag=20, sigma=0.22025.090.1540.654
TimesNetlag=20, sigma=0.42025.090.1470.74
LSTMlag=20, sigma=0.42025.09-0.0080.704
FANlag=30, sigma=0.42025.09-0.070.652
LSTMlag=30, sigma=0.42025.09-0.0790.743
LSTMlag=20, sigma=0.22025.09-0.1640.709
FANlag=20, sigma=0.42025.09-0.7190.965