Impact of Missing Data on Classification Success in Health and Comparative Analysis of Imputation Methods.
Ebru Uçgun ErgünIbrahim KökSuat ÖzdemirPublished in: ISNCC (2022)
Keyphrases
- missing data
- comparative analysis
- imputation methods
- missing values
- multiple imputation
- data imputation
- incomplete data
- missing data imputation
- structure from motion
- automatic relevance determination
- low rank
- matrix factorization
- classification accuracy
- machine learning
- support vector machine svm
- statistical databases
- k nearest neighbour
- pattern recognition
- support vector
- decision trees
- text classification
- missing information
- feature vectors
- semi quantitative
- feature extraction
- logistic regression