TY  - GEN 
AU  - Ramos-López, Darío
AU  - Maldonado, Ana D.
PY  - 2021
SN  - 2227-7390
UR  - http://hdl.handle.net/10835/9318
AB  - Multi-class classification in imbalanced datasets is a challenging problem. In these cases, common validation metrics (such as accuracy or recall) are often not suitable. In many of these problems, often real-world problems related to health, some...
LA  - en
PB  - MDPI
KW  - multi-class classification
KW  - imbalanced data
KW  - Bayesian networks
KW  - variable selection
TI  - Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
ER  -