Suppose I have a logistic regression output as follows.
Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -5.8700887 0.0506436 -115.91 <2e-16 *** f1 0.0511820 0.0005718 89.51 <2e-16 *** f2 10.8470102 0.0992892 109.25 <2e-16 *** f3 0.3762872 0.0108390 34.72 <2e-16 ***
In this case, which variable play the most important role in the model? Is it
f1 (the lowest coefficient) or
f2 (the highest one)?