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Table 3 The confusion matrix for our proposed model

From: Deep learning for cancer type classification and driver gene identification

Predicted

Predicted class cancer sequence

Germline sequence

Cancer sequence

True

Positive

Negative

Positive

Negative

Breast

 Positive

161

31

169

22

 Negative

36

608

39

604

Colorectal

 Positive

73

11

72

11

 Negative

15

737

8

743

Brain

 Positive

124

29

100

53

 Negative

67

616

53

628

Uterus

 Positive

64

42

62

44

 Negative

22

708

16

713

Lung

 Positive

88

58

94

52

 Negative

33

657

60

628

Kidney

 Positive

48

19

49

19

 Negative

18

751

26

741

Prostate

 Positive

57

31

50

38

 Negative

30

719

36

710

  1. The number is average of the 10 runs for test set prediction