Table 5 Indictors prediction of electrolytic copper quality using relevance vector machine and RF-RVM models.

From: Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm

Error index

MAE

RMSE

Models

RVM

RF-RVM

RVM

RF-RVM

Y1

0.1352

0.0427

0.1373

0.0531

Y2

0.0883

0.0862

0.0982

0.0956

Y3

0.0833

0.0721

0.0948

0.0867

Y4

0.1279

0.1048

0.1889

0.1822

Y5

0.1165

0.0919

0.1277

0.1052

  1. Significant values are in [boldunderline].
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