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We have a model with below-mentioned details:

target = PD (probability of default)

feature_1 = WOE transformed age ({

                                  'woe for 18-45': 12.5%, 

                                  'woe for 46-65': - 43.4%, 

                                  'woe for 65+': 6.5%

})

feature_2 = Log-odd transformed region (urban, rural, reference level: rural)

coeff_feature_1 = 0.5812648

coeff_feature_2 = 0.3272851

How can we interpret the coefficients for both features?

Sitara
  • 1

0 Answers0