TY  - JOUR 
AU  - Pérez Pons, María Eugenia
AU  - Parra Domínguez, Javier
AU  - Hernández González, Guillermo
AU  - Herrera Viedma, Enrique
AU  - Corchado Rodríguez, Juan Manuel
PY  - 2022
SN  - 0269-8889
UR  - http://hdl.handle.net/10366/169119
AB  - [EN]This paper presents a methodology that permits to automate binary classification using the minimum
possible number of attributes. In this methodology, the success of the binary prediction does not lie in the
accuracy of an algorithm but in the...
LA  - eng
PB  - Cambridge University Press
KW  - Artificial Intelligence
KW  - Bankruptcy
KW  - Accountancy
TI  - Evaluation metrics and dimensional reduction for binary classification algorithms: a case study on bankruptcy prediction
DO  - 10.1017/S026988892100014X
T2  - The Knowledge Engineering Review
VL  - 37
ER  -