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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