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?