Time Series Forecasting on Rapel (MSE, MAE) benchmark leaderboard · SOTA2 Research

Time Series Forecasting on Rapel (MSE, MAE)

0.14MSEGCGNet

Evaluation Results

Method	Links
GCGNet2026.03		0.14	0.191
xPatch2026.03		0.161	0.216
PatchTST2026.03		0.163	0.218
DUET2026.03		0.174	0.219
TimeKAN2026.03		0.174	0.231
Amplifier2026.03		0.181	0.227
TFT2026.03		0.201	0.253
GCGNet2026.03		0.212	0.259
TiDE2026.03		0.228	0.271
CrossLinear2026.03		0.24	0.299
TimeKAN2026.03		0.249	0.311
Amplifier2026.03		0.257	0.321
GCGNet2026.03		0.258	0.273
DUET2026.03		0.269	0.326
PatchTST2026.03		0.269	0.332
CrossLinear2026.03		0.271	0.248
CrossLinear2026.03		0.271	0.371
CrossLinear2026.03		0.271	0.31
GCGNet2026.03		0.284	0.327
TimeXer2026.03		0.301	0.308
DUET2026.03		0.304	0.306
TFT2026.03		0.305	0.333
TFT2026.03		0.308	0.334
TiDE2026.03		0.32	0.351
TiDE2026.03		0.323	0.357
PatchTST2026.03		0.325	0.334
TimeKAN2026.03		0.325	0.39
Amplifier2026.03		0.333	0.416
xPatch2026.03		0.333	0.381
Amplifier2026.03		0.337	0.348
TimeKAN2026.03		0.342	0.337
TimeXer2026.03		0.344	0.362
TimeXer2026.03		0.344	0.362
xPatch2026.03		0.364	0.382
DUET2026.03		0.365	0.432
PatchTST2026.03		0.374	0.445
TimeXer2026.03		0.387	0.416
TFT2026.03		0.409	0.414
TiDE2026.03		0.411	0.432
xPatch2026.03		0.505	0.546