Table 7 Diagnostic prediction accuracy.

From: Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach

Case No.

Case. 1

Case. 2

Case. 3

Case. 4

Case. 5

Case. 6

Case. 7

Case. 8

Case. 9

Case. 10

Accuracy

Type

Normal

Normal

Normal

Normal

Normal

UDH

DCIS G1

DCIS G1

DCIS G3

DCIS G3

Total

Cell Level

4 groups

51%

49%

58%

42%

35%

42%

32%

20%

36%

37%

40%

2 groups

82%

70%

70%

64%

67%

57%

89%

84%

46%

62%

69%

Duct Level

4 groups

2/2

2/2

2/2

2/2

1/2

3/3

2/4

2/7

3/5

3/3

69%

2 groups

2/2

2/2

2/2

2/2

1/2

3/3

4/4

7/7

3/5

3/3

91%

Case Level

4 groups

â—‹

â—‹

â—‹

â—‹

×

â—‹

â—‹

×

â—‹

â—‹

80%

2 groups

â—‹

â—‹

â—‹

â—‹

×

â—‹

â—‹

â—‹

â—‹

â—‹

90%

  1. *2 groups: Normal/Benign vs DCIS.