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Table 6 The prediction results derived from DT, RF and SVM models in differentiation of iron deficiency anemia (IDA) from thalassemia trait (TT)

From: ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia

No.

RBC

Hb

Hct

MCV

MCH

MCHC

RDW

Diagnosis

Prediction

k-NN

DT

RF

ANN

SVM

1

5.35

10.6

33.0

61.7

19.8

32.1

13.7

TT

TT

TT

TT

TT

TT

2

5.40

10.9

34.1

63.2

20.2

32.0

14.5

TT

TT

TT

TT

TT

TT

3

5.40

10.3

33.0

61.1

19.1

31.2

14.2

TT

TT

TT

TT

TT

TT

4

6.01

12.3

38.3

63.7

20.5

32.1

13.2

TT

TT

TT

TT

TT

TT

5

5.55

11.0

33.4

60.2

19.8

32.9

13.2

TT

TT

TT

TT

TT

TT

6

6.04

12.9

39.6

65.6

21.4

32.6

13.5

TT

TT

TT

TT

TT

TT

7

5.90

13.1

40.0

67.8

22.2

32.8

12.7

TT

TT

TT

TT

TT

TT

8

5.95

12.6

39.0

65.6

21.2

32.3

13.4

TT

TT

TT

TT

TT

TT

9

6.11

12.7

39.5

64.7

20.8

32.2

13.7

TT

TT

TT

TT

TT

TT

10

5.45

11.8

36.6

67.1

21.7

32.3

14.0

TT

TT

TT

TT

TT

TT

11

5.40

11.0

34.0

63.0

20.4

32.4

12.8

TT

TT

TT

TT

TT

TT

12

5.40

11.0

34.0

63.0

20.4

32.4

14.0

TT

TT

TT

TT

TT

TT

13

6.20

12.4

37.2

60.0

20.0

33.3

12.6

TT

TT

TT

TT

TT

TT

14

5.40

10.7

33.0

61.1

19.8

32.4

13.6

TT

TT

TT

TT

TT

TT

15

6.11

12.3

38.0

62.2

20.1

32.4

12.6

TT

TT

TT

TT

TT

TT

16

3.40

7.7

24.1

70.9

22.7

32.0

20.1

IDA

IDA

IDA

IDA

IDA

IDA

17

4.66

11.3

34.4

73.8

24.3

32.9

21.0

IDA

TT

TT

TT

IDA

TT

18

4.54

10.6

32.8

72.3

23.4

32.3

21.0

IDA

IDA

IDA

IDA

IDA

IDA

19

3.50

7.9

25.2

72.0

22.6

31.4

21.2

IDA

IDA

IDA

IDA

IDA

IDA

20

4.15

9.9

29.0

69.9

23.9

34.1

20.2

IDA

TT

IDA

IDA

IDA

IDA

21

3.90

8.9

28.0

71.8

22.8

31.8

20.2

IDA

IDA

IDA

IDA

IDA

IDA

22

4.17

9.9

29.0

69.5

23.7

34.1

21.1

IDA

IDA

IDA

IDA

IDA

IDA

23

3.85

8.5

27.5

71.4

22.1

30.9

21.3

IDA

IDA

IDA

IDA

IDA

IDA

24

4.24

9.8

30.5

71.9

23.1

32.1

20.2

IDA

IDA

IDA

IDA

IDA

IDA

25

4.83

11.1

34.0

70.4

23.0

32.7

19.0

IDA

TT

TT

TT

TT

TT

26

4.64

10.6

33.0

71.1

22.8

32.1

20.5

IDA

IDA

IDA

IDA

IDA

IDA

27

4.01

9.5

29.0

72.3

23.7

32.8

20.4

IDA

IDA

IDA

IDA

IDA

IDA

28

4.80

11.0

34.0

70.8

22.9

32.4

21.1

IDA

TT

TT

TT

IDA

IDA

29

3.65

8.4

26.0

71.2

23.0

32.3

20.4

IDA

IDA

IDA

IDA

IDA

IDA

30

4.00

9.2

28.0

70.0

23.0

32.9

20.1

IDA

IDA

IDA

IDA

IDA

IDA

31

4.45

10.2

31.4

70.6

22.9

32.5

19.8

IDA

IDA

IDA

IDA

IDA

IDA

32

4.44

10.3

32.0

72.1

23.2

32.2

21.3

IDA

IDA

IDA

IDA

IDA

IDA

33

4.56

10.4

32.0

70.2

22.8

32.5

19.4

IDA

IDA

IDA

IDA

IDA

IDA

34

4.84

11.0

34.0

70.3

22.7

32.4

20.7

IDA

TT

TT

TT

IDA

IDA

36

3.83

8.7

27.0

70.5

22.72

32.22

20.0

IDA

IDA

IDA

IDA

IDA

IDA

37

3.6

8.7

25.0

69.44

24.17

34.8

19.3

IDA

IDA

IDA

IDA

IDA

IDA

38

3.52

8.0

25.0

71.02

22.73

32

21.1

IDA

IDA

IDA

IDA

IDA

IDA

39

3.98

9.0

27.8

69.85

22.61

32.37

20.7

IDA

IDA

IDA

IDA

IDA

IDA

40

4.02

9.0

28.5

70.9

22.39

31.58

21.1

IDA

IDA

IDA

IDA

IDA

IDA

41

4.43

10.1

31.4

70.88

22.8

32.17

19.8

IDA

IDA

IDA

IDA

IDA

IDA

42

4.24

9.6

30.0

70.75

22.64

32.0

21.0

TT

TT

TT

TT

TT

TT

43

5.94

12.6

39.0

65.7

21.2

32.3

13.0

TT

IDA

TT

TT

IDA

TT

44

5.80

11.7

36.3

62.6

20.2

32.2

13.1

TT

IDA

TT

TT

IDA

TT

45

5.45

11.4

35.0

64.2

20.9

32.6

13.0

TT

IDA

TT

TT

IDA

TT

46

5.40

11.0

33.7

62.4

20.4

32.6

12.5

TT

IDA

TT

TT

IDA

TT

47

6.11

12.6

38.5

63.0

20.6

32.7

14.3

TT

IDA

TT

TT

IDA

TT

48

5.80

12.2

36.4

62.8

21.0

33.5

14.0

TT

IDA

TT

TT

IDA

TT

49

5.44

10.8

34.0

62.5

19.9

31.8

12.7

TT

IDA

TT

TT

IDA

TT

50

5.40

10.8

33.0

61.1

20.0

32.7

13.6

TT

TT

TT

TT

TT

TT

51

6.05

12.3

38.0

62.8

20.3

32.4

14.0

TT

TT

TT

TT

TT

TT

  1. ANN Artificial neural network; DT Decision tree; Hb Hemoglobin; Hct Hematocrit; IDA Iron deficiency anemia; k-NN k-nearest neighbor; MCH mean corpuscular hemoglobin; MCHC mean corpuscular hemoglobin concentration; MCV mean corpuscular volume; RBC red blood cell count; RDW red blood cell distribution width; RF Random forest; SVM Support vector machine; TT Thalassemia trait. Parameters of k-NN (k), RF (ntree, mtry), ANN (size, decay) and SVM (cost, γ) were optimized by a 5-fold CV procedure. Values of k, ntree, mtry, size, decay, cost and γ are 5, 200, 2, 4, 0.5, 8 and 0.5