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This repository has been archived by the owner on Jun 22, 2022. It is now read-only.
I have used your algorithm to successfully imput missing values into a deteset.. However, I have not been able to find any method to check the accuracy/success of the imputed values. Do you have any available methods/suggestions?
The text was updated successfully, but these errors were encountered:
Hey MicheleSergioPozzi,
I was wondering how did you impute missing values into a dataset, did you use the fit method and then the transform method? Also, for checking the accuracy which most people do I believe use fill the dataset with missing values with another imputation method, like kNN, and stored that now filled dataset. Then artificially removed values randomly (there are metabolomics paper that provide algorithms to do this), and then use this algorithm to impute the missing values and then use a method like NRSME to check how accurate the imputed dataset was to the filled dataset.
Hope this helps!
Also there is a folder in the code called tests and in it there is a file test_predictive_imputer.py and I think that is supposed to test the algorithm
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I have used your algorithm to successfully imput missing values into a deteset.. However, I have not been able to find any method to check the accuracy/success of the imputed values. Do you have any available methods/suggestions?
The text was updated successfully, but these errors were encountered: