CODEWITHSUNDEEP
rmissing-dataimputationr-mice
Kkk
Kkk

Reputation: 59

missing values after imputation with mice R

I want to explore various classification methods on a data set with many missing data. I tried imputing with cart method of mice since I was getting a singular error for the default method. My problem is that, after imputing, I still have missing data. What I did:

imputed_Data <- mice(stock, m=1, maxit = 5, method="cart", seed = 328)
data_det <- complete(imputed_Data)

Any insights greatly appreciated!

Upvotes: 0

Views: 960

Answers (1)

Kkk
Kkk

Reputation: 59

My issue was solved with setting ridge = 0.0001 and threshold=1.1 and I got the complete dataset

Upvotes: 2

Related Questions