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Table 1 Results of each algorithm model after LASSO 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

LASSO+DT

20

6

8

24

75.86%

76.92%

75.00%

LASSO+Bayes

13

10

8

27

68.97%

56.52%

77.14%

LASSO+BPnet

17

9

4

28

77.59%

65.38%

87.50%

LASSO+K-NN

23

7

4

24

81.03%

76.67%

85.71%

LASSO+SVM

23

2

11

22

77.59%

92.00%

66.67%

LASSO+RF

25

2

9

22

81.03%

92.59%

70.97%

LASSO+GBDT

19

4

5

30

84.48%

82.61%

85.71%

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