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Impute vs. Ignore: Missing values for prediction
conference contribution
posted on 2023-05-23, 18:39 authored by Zhang, Q, Rahman, A, D'Este, CESensor faults or communication errors can cause certain sensor readings to become unavailable for prediction purposes. In this paper we evaluate the performance of imputation techniques and techniques that ignore the missing values, in scenarios: (i) when values are missing only during prediction phase, and (ii) when values are missing during both the induction and prediction phase. We also investigated the influence of different scales of missingness on the performance of these treatments. The results can be used as a guideline to facilitate the choice of different missing value treatments under different circumstances.
History
Publication title
Proceedings of the 2013 International Joint Conference on Neural NetworksEditors
B ApolloniPagination
1-8ISBN
978-1-4673-6129-3Department/School
School of Information and Communication TechnologyPublisher
Curran Associates Inc.Place of publication
Red Hook, New York, United StatesEvent title
2013 International Joint Conference on Neural Networks (IJCNN)Event Venue
Dallas, Texas, United StatesDate of Event (Start Date)
2013-08-04Date of Event (End Date)
2013-08-09Repository Status
- Restricted