Impact of Regressand Stratification in Dataset Shift Caused by Cross-Validation
Data that have not been modeled cannot be correctly predicted. Under this assumption, this research studies how k-fold cross-validation can introduce dataset shift in regression problems. This fact implies data distributions in the training and test sets to be different and, therefore, a deteriorati...
Main Authors: | José A. Sáez, José L. Romero-Béjar |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/14/2538 |
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