Table 6 Variance inflation factor (VIF) values for input variables in approaches I and II.

From: On the interpretability of machine and deep learning techniques for predicting CBR of stabilized soil containing agro-industrial wastes

Approach I

Approach II

Feature

VIF

Feature

VIF

SDA

3.203583

PI

41.621

QD

2.248407

SM

2.312929

OPC

4.036316

ToA

6.851105

RHA

1.72657

LL

45.857

GA

1.990508

PL

inf

BA

2.592128

OMC

31.4095

CA

2.815539

MDD

27.18212

PI

45.711

  

LL

47.2831

  

PL

inf

  

OMC

39.77714

  

MDD

32.05244

  
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