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This pull request adds the final artifacts for the MNAR imputation project.
The project includes:
Core Idea:
A rebalanced MICE-like imputation approach for MNAR data, using target-region weighting and similarity-based weighting.
How to run:
cd mnar_project
Diabetes Dataset
python3 src/run_all_experiments.py --input-path data/processed/diabetes_sample.csv
AQ dataset:
python3 src/run_all_experiments.py --input-path data/processed/AQ_clean.csv
Main result:
Compared with standard MICE, the rebalanced approach substantially reduces MNAR-related bias. The final prototype was translated into DML/SystemDS.