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Table 3 Statistical parameters calculation

From: An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques

S. No

Feature/Attribute

Statistical features before and after pre-processing

Mean

(Before)

Mean

(After)

Median

(Before)

Median

(After)

Standard

Deviation

(Before)

Standard

Deviation

(After)

1

Pregnancies (F1)

3.8450

3.8241

3

3

3.3695

3.3241

2

Glucose (F2)

120.8945

119.121

117

114

31.9726

29.8172

3

Blood Pressure (F3)

69.1054

71.145

72

71

19.3558

12.3150

4

Skin Thickness (F4)

20.5364

26.652

23

26

15.9522

9.5851

5

Insulin (F5)

79.7994

79.5741

30.5

30.56

115.244

76.2182

6

BMI (F6)

31.9925

32.1942

32

32

7.8841

6.6210

7

Diabetes Pedigree

Function (F7)

0.4718

0.3560

0.3725

0.36

0.3313

0.2749

8

Age (F8)

33.2408

32.7162

29

29

11.7602

11.1864