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Table 3 Fisher discriminant analysis and cross-validation

From: Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI

 

Subtypes/n

Training dataset

Prediction accuracy

1

2

3

4

5

Fisher discriminant analysis

1

28

0

1

0

0

97%

2

0

31

0

0

0

100%

3

0

0

16

0

1

94%

4

1

1

0

22

0

92%

5

0

0

0

0

11

100%

Total

–

–

–

–

–

–

96.4%

Leave-one- out cross- validation

1

23

4

0

0

2

79%

2

1

24

0

1

5

77%

3

1

0

15

1

0

88%

4

0

2

0

22

0

92%

5

3

0

0

0

8

73%

Total

–

–

–

–

–

–

82.1%

  1. Subtypes: 1, luminal A; 2, luminal BHER2-; 3, luminal BHer2+; 4, HER2 positive; 5, triple negative