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There are 3 types of missing data : MCAR, MAR and MNAR. In the imputer selection process, we must choose a holes generator. It would be suitable to select a holes generator that reflects the holes present in the dataset. The aim is to provide a tool for characterizing the user's hole type.
Current situation :
No tool available today in Qolmat. The Little's test is implemented but it only handles quantitative features and presents some limits :
Bad power in high dimension.
Do not detect the HC.
Improvement sought :
Implement briefly the PKLM test to confirm the published performance by the authors.
See the PKLM Test by Spohn et al.
The text was updated successfully, but these errors were encountered:
Why ?
There are 3 types of missing data : MCAR, MAR and MNAR. In the imputer selection process, we must choose a holes generator. It would be suitable to select a holes generator that reflects the holes present in the dataset. The aim is to provide a tool for characterizing the user's hole type.
Current situation :
No tool available today in Qolmat. The Little's test is implemented but it only handles quantitative features and presents some limits :
Improvement sought :
Implement briefly the PKLM test to confirm the published performance by the authors.
See the PKLM Test by Spohn et al.
The text was updated successfully, but these errors were encountered: