TY  - JOUR 
AU  - Sáez Muñoz, José Antonio
AU  - Romero Béjar, José Luis
PY  - 2022
UR  - http://hdl.handle.net/10481/76646
AB  - 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...
LA  - eng
PB  - MDPI
KW  - Cross-validation
KW  - Dataset shift
KW  - Target shift
KW  - Stratification
KW  - Regression
TI  - Impact of Regressand Stratification in Dataset Shift Caused by Cross-Validation
DO  - 10.3390/math10142538
ER  -