Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values.
Haewon JeongHao WangFlávio P. CalmonPublished in: CoRR (2021)
Keyphrases
- missing values
- data imputation
- decision trees
- imputation methods
- missing data
- missing attribute values
- missing data imputation
- incomplete data
- high dimensional data
- incomplete data sets
- machine learning
- missing information
- naive bayes
- feature values
- machine learning algorithms
- information gain
- matrix factorization
- knn
- training data