Model

RMSE

Regression

Shepherd

0.1739

0.95478

Unnewehr

0.1178

0.95155

Nernst

0.0672

0.98321

Linear

0.0284

0.99530

RC

0.0202

0.99788

NIO (d = 2)

0.0579

0.97694

NIO (d = 4)

0.0433

0.98742

NIO (d = 6)

0.0379

0.99176

NIO (d = 8)

0.0421

0.98995

NIO (d = 10)

0.5889

0.98860

NARX (d = 2)

0.0074

0.99990

NARX (d = 4)

0.0128

0.99961

NARX (d = 6)

0.0193

0.99920

NARX (d = 8)

0.0253

0.99867

NARX (d = 10)

0.0311

0.99807