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Table 5 Testing results of different features rank (5 Fold CV)

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

Feature Rank

RF

LDA

QDA

SVM

KNN

Rank1+2

0.867

0.878

0.682

0.848

0.844

Rank2

0.864

0.875

0.704

0.846

0.838

Rank3

0.8017

0.767

0.081

0.676

0.705

Rank4

0.7993

0.833

0.746

0.641

0.798

Feature Rank

NN

NB

Bag

Ada

GBDT

Rank1+2

0.826

0.786

0.841

0.702

0.874

Rank2

0.294

0.783

0.849

0.710

0.859

Rank3

0.709

0.769

0.734

0.580

0.835

Rank4

0.625

0.751

0.771

0.523

0.804