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Table 9 Accuracy evaluation of classical ML models using different training-testing methods with 8000 features

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

Dataset

Training – testing method

SVM

RF

KNN

AdaBoost

LUAD

10-fold cross-validation

0.64

0.58

0.57

0.52

5-fold cross-validation

0.62

0.57

0.58

0.56

80–20 splitting

0.75

0.64

0.60

0.65

70–30 splitting

0.72

0.64

0.60

0.57

LUSC

10-fold cross-validation

0.68

0.597

0.58

0.559

5-fold cross-validation

0.66

0.592

0.57

0.552

80–20 splitting

0.72

0.62

0.61

0.49

70–30 splitting

0.68

0.58

0.57

0.54

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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