TY  - JOUR
AU  - Saez, Jose A.
AU  - Romero-Bejar, Jose L.
PY  - 2022
DO  - 10.3390/math10142538
UR  - http://hdl.handle.net/10668/21412
T2  - Mathematics
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  - en
PB  - Mdpi
KW  - cross-validation
KW  - dataset shift
KW  - target shift
KW  - stratification
KW  - regression
KW  - Covariate shift
KW  - Model
KW  - Adaptation
KW  - Selection
KW  - Tutorial
KW  - Networks
KW  - Tests
KW  - Spain
KW  - Operations Research
KW  - Algorithms
KW  - Mathematics
TI  - Impact of Regressand Stratification in Dataset Shift Caused by Cross-Validation
TY  - research article
VL  - 10
ER  -