Skip to main content

Table 8 10 fold CV of feature set Top 13

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

Feature Rank

RF

LDA

QDA

SVM

KNN

Rank1+2

0.926

0.894

0.784

0.871

0.902

Rank2

0.938

0.733

0.081

0.672

0.806

Rank3

0.913

0.901

0.750

0.799

0.883

Rank4

0.980

0.873

0.302

0.821

0.839

Feature Rank

NN

NB

Bag

Ada

GBDT

Rank1+2

0.797

0.860

0.921

0.705

0.932

Rank2

0.784

0.754

0.882

0.798

0.866

Rank3

0.673

0.841

0.911

0.707

0.916

Rank4

0.776

0.777

0.881

0.869

0.927