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Table 3 Results of each algorithm model after PCA dimensionality reduction

From: Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?

 

TP

FN

FP

TN

Accuracy

Sensitivity

Specificity

PCA + DT

24

7

9

18

72.41%

77.42%

66.67%

PCA + Bayes

12

11

9

26

65.52%

52.17%

74.29%

PCA + BPnet

16

10

5

27

74.14%

61.54%

84.38%

PCA + K-NN

17

10

7

24

70.69%

62.96%

77.42%

PCA + SVM

16

10

9

23

67.24%

61.54%

71.88%

PCA + RF

24

4

7

23

81.03%

85.71%

76.67%

PCA + GBDT

21

5

5

27

82.76%

80.77%

84.38%

  1. *FN False Negative, FP False Positive, TN True Negative, TP True Positive