Long-term Time-Series Forecasting on Lotka-Volterra (L.-V.) synthetic (test) benchmark leaderboard · SOTA2 Research

Long-term Time-Series Forecasting on Lotka-Volterra (L.-V.) synthetic (test)

0.63MSELSTM

Evaluation Results

Method	Links
LSTM2023.09		0.63	0.49
DEEPAR CL2023.09		0.64	0.5
LATENT NLINEAR2023.09		0.7	0.53
N-HITS2023.09		0.71	0.55
DEEPAR VANILLA2023.09		0.76	0.58
LSTM2023.09		0.78	0.59
NEURAL ODE2023.09		0.78	0.6
LATENT NLINEAR2023.09		0.79	0.59
DEEPAR CL2023.09		0.79	0.59
LSTM2023.09		0.8	0.61
N-HITS2023.09		0.8	0.61
LATENT NLINEAR2023.09		0.81	0.61
DEEPAR CL2023.09		0.81	0.62
SPACETIME2023.09		0.81	0.63
PATCHT2023.09		0.82	0.58
N-HITS2023.09		0.83	0.63
SPACETIME2023.09		0.83	0.63
NLINEAR2023.09		0.84	0.64
SPACETIME2023.09		0.87	0.67
NEURAL ODE2023.09		0.87	0.66
NLINEAR2023.09		0.87	0.67
DEEPAR VANILLA2023.09		0.87	0.65
NLINEAR2023.09		0.89	0.68
DEEPAR VANILLA2023.09		0.89	0.67
NEURAL ODE2023.09		0.9	0.68
PATCHT2023.09		0.95	0.66
PATCHT2023.09		0.99	0.69