Table 11 Confusion matrices of machine learning models for Glioma, Healthy, Meningioma, and pituitary classification.

From: Brain tumor detection with real-world predictions in Jordan hospitals

 

Predicted

 

Glioma

Healthy

Meningioma

Pituitary

Actual

     

 Tree

     

  Glioma

1202

62

290

67

1621

  Healthy

43

1845

68

44

2000

  Meningioma

287

50

1162

146

1645

  Pituitary

77

58

145

1477

1757

 AdaBoost

     

  Glioma

1209

55

293

64

1621

  Healthy

54

1833

61

52

2000

  Meningioma

306

51

1124

164

1645

  Pituitary

56

75

182

1444

1757

 kNN

     

  Glioma

1401

0

198

22

1621

  Healthy

16

1936

23

25

2000

  Meningioma

60

11

1514

60

1645

  Pituitary

5

2

33

1717

1757

 Neural Network

     

  Glioma

1496

5

112

8

1621

  Healthy

5

1972

10

13

2000

  Meningioma

56

12

1542

35

1645

  Pituitary

4

5

33

1715

1757

 Logistic Regression

     

  Glioma

1406

25

168

22

1621

  Healthy

17

1936

28

19

2000

  Meningioma

181

27

1371

66

1645

  Pituitary

16

16

78

1647

1757

 Random Forest

     

  Glioma

1351

25

218

27

1621

  Healthy

24

1920

23

33

2000

  Meningioma

217

37

1278

113

1645

  Pituitary

19

28

84

1626

1757

 SVM

     

  Glioma

1414

3

197

7

1621

  Healthy

11

1960

17

12

2000

  Meningioma

39

17

1520

69

1645

  Pituitary

4

7

40

1706

1757

  1. Significant values are in bold.