Impact of imputation of missing values on classification error for discrete data.
Alireza FarhangfarLukasz A. KurganJennifer G. DyPublished in: Pattern Recognit. (2008)
Keyphrases
- missing values
- classification error
- discrete data
- hyperparameters
- continuous data
- missing data
- data imputation
- incomplete data
- high dimensional data
- decision rules
- high dimensional
- missing data imputation
- class labels
- imputation methods
- training set
- generalization error
- training samples
- neural network
- data sets
- supervised learning
- base classifiers
- feature vectors
- estimation error
- training data
- similarity measure