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Table 9 5 fold CV of feature set Top 14–33

From: Vote-Based Feature Selection Method for Stratigraphic Recognition in Tunnelling Process of Shield Machine

Feature Rank

RF

LDA

QDA

SVM

KNN

Rank1+2

0.801

0.767

0.081

0.676

0.705

Rank2

0.891

0.810

0.470

0.694

0.764

Rank3

0.803

0.778

0.536

0.719

0.812

Rank4

0.870

0.868

0.512

0.674

0.784

Feature Rank

NN

NB

Bag

Ada

GBDT

Rank1+2

0.709

0.769

0.767

0.580

0.835

Rank2

0.715

0.781

0.808

0.705

0.830

Rank3

0.759

0.794

0.819

0.412

0.807

Rank4

0.651

0.783

0.784

0.744

0.796