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Table 4 Pearson Chi-square(\({\chi }^{2}\)) test for independence between various predictors and Vitamin D classes

From: Machine learning approach for the detection of vitamin D level: a comparative study

Predictors

\({\chi }^{2}\)(df)a

P value

Predictors

\({\chi }^{2}\)(df)a

P value

Gender

1.622(2)

0.444

TRY

57.296 (2)

 < 0.001

Age groups

27.743 (10)

0.002

MtS

70.231 (2)

 < 0.001

SBP

2.630 (2)

0.268

Having alcohol

5.501(2)

0.064

DBP

3.485 (2)

0.175

Having smoke

3.796 (2)

0.150

FBS

2.516 (2)

0.284

Skin Tone

60.897 (2)

 < 0.001

HOMA-IR

0.666 (2)

0.717

Usage of sun protection cream

4.124 (2)

0.127

hs-CRP

28.509 (2)

 < 0.001

Sunlight exposure status

14.094(2)

 < 0.001

UAL

12.405 (2)

0.002

Usage of MMS

31.727(2)

 < 0.001

HDL

42.633 (2)

 < 0.001

Usage of FOS

26.390 (2)

 < 0.001

TCL

2.907(2)

0.234

WC

45.587 (2)

 < 0.001

LDL

1.786 (2)

0.409

BMI

57.004(2)

 < 0.001

  1. adf Degrees of freedom