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Table 2 the MSE training of each predictive model build by PCR, PLSR, OPLS, EN and SMLR

From: Ensemble learning for prediction of the bioactivity capacity of herbal medicines from chromatographic fingerprints

MSE training

Training Set

PCR

PLSR

OPLS

EN

SMLR

1

0.05722

0.01562

0.01562

0.04591

0.02273

2

0.07726

0.02304

0.02304

0.0688

0.0339

3

0.05432

0.00992

0.00992

0.00278

0.01183

4

0.0372

0.02113

0.02113

0.17149

0.03334

5

0.02094

0.01609

0.01609

0.05693

0.0168

6

0.04337

0.02291

0.02291

0.20607

0.03839

7

0.03314

0.02129

0.02129

0.04031

0.01823

8

0.04345

0.01429

0.02959

0.04318

0.02377

9

0.0417

0.03122

0.03122

0.02044

0.02484

10

0.07736

0.01078

0.01078

0.07534

0.02725

Mean

0.0486

0.01863

0.02016

0.07313

0.02511