Classification of datasets with imputed missing values: does imputation quality matter?
Tolou ShadbahrMichael RobertsJan StanczukJulian D. GilbeyPhilip TeareSören DittmerMatthew ThorpeRamón Viñas TornéEvis SalaPietro LióMishal PatelAIX-COVNET CollaborationJames H. F. RuddTuomas MirttiAntti RannikkoJohn A. D. AstonJing TangCarola-Bibiane SchönliebPublished in: CoRR (2022)
Keyphrases
- missing values
- imputation methods
- data imputation
- missing data
- missing data imputation
- cost sensitive learning
- multiple imputation
- incomplete data sets
- incomplete data
- feature values
- k nearest neighbour
- missing attribute values
- high dimensional data
- multivariate temporal data
- unseen data
- missing information
- data cleaning
- text classification
- data matrix
- data stream classification
- feature space
- pattern recognition
- multi layer perceptron
- machine learning algorithms
- classification accuracy
- feature vectors
- feature extraction
- learning algorithm
- machine learning
- unseen test data
- data sets