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Table 1 Feature selection methods and classifiers for the top ten models

From: Radiomics combined with clinical characteristics predicted the progression-free survival time in first-line targeted therapy for advanced non-small cell lung cancer with EGFR mutation

Classifier

Feature selection method

AUC

ACC

Sensitivity

Specificity

Logistic

gini-index

0.797

0.722

0.758

0.693

Logistic

ll-l21

0.763

0.681

0.716

0.653

Bagging

CIFE

0.764

0.671

0.636

0.707

Logistic

reliefF

0.759

0.662

0.676

0.655

Bagging

MRMR

0.743

0.662

0.616

0.729

Bagging

MIFS

0.742

0.670

0.656

0.673

Adaboosting

f-score

0.740

0.671

0.756

0.593

SVM

MRMR

0.739

0.712

0.733

0.695

SVM

CIFE

0.734

0.692

0.713

0.676

SVM

MIFS

0.734

0.712

0.733

0.695