@shashwat.2014 wrote:
I was using MICE package to impute missing values in categorical variables.
imputed_Data_cat<-mice(data.frame(total$Credit_History,total$Self_Employed,total$Dependents,total$Gender,total$Loan_Amount_Term), m=5, maxit = 5, method = 'logreg')
However it is showing the following error :iter imp variable
1 1 total.Credit_History total.Self_Employed total.Dependents
Error in factor(vec, c(0, 1), levels(y)) :
invalid 'labels'; length 4 should be 1 or 2
In addition: Warning messages:
1: Type mismatch for variable total.Dependents
Imputation method logreg is not for factors with three or more levels.
2: Type mismatch for variable total.Loan_Amount_Term
Imputation method logreg is not for factors with three or more levels.Which method should be chosen instead of logistic regression in this case for categorical variables with 3 or more levels?
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