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Table 13 Detailed performance comparison between all the models using F-test for LUSC dataset using 3000 features

From: Classification of lung cancer severity using gene expression data based on deep learning

Performance Metric

KNN (K = 7)

SVM

RF

AdaBoost

CNN

Accuracy

0.67

0.76

0.67

0.62

0.88

Recall

0.63

0.74

0.65

0.60

0.87

Precision

0.65

0.75

0.65

0.60

0.89

F-score

0.64

0.74

0.65

0.60

0.87

AUC

0.63

0.73

0.64

0.60

0.86

TPR

0.70

0.78

0.72

0.68

0.87

TNR

0.60

0.70

0.58

0.51

0.90

FPR

0.39

0.29

0.41

0.48

0.09

FNR

0.29

0.21

0.27

0.31

0.12

Training Time (Seconds)

0.02

0.11

0.60

3.72

5.6

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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