What are some effective tools for data imputation?
An example of an AI chatbot conversation about tools for data imputation.
What are some effective tools for data imputation?
There are several tools for data imputation, including Scikit-learn, MissForest, and KNNImputer. Do you have a specific dataset in mind?
I'm working with a healthcare dataset that has missing values.
For healthcare datasets, MissForest is often recommended as it handles mixed data types well. Have you tried it?
Not yet, how does it work?
MissForest uses a random forest algorithm to predict missing values based on other available data. It's quite effective!
Are there any other methods I should consider?
Yes, you might also consider using KNNImputer or MICE, which are great for different scenarios. Would you like more details on these?
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