TY  - CHAP
AU  - Marín Díaz, Gabriel
AU  - Galán Hernández, José Javier
A4  - Arias Oliva, Mario
A4  - Pelebrín Borondo, Jorge
A4  - Murata, Kiyoshi
A4  - Souto Romero, Mar
PY  - 2024
SN  - 978-84-09-58161-0
UR  - https://hdl.handle.net/20.500.14352/130072
AB  - This article explores the evolution of machine learning (ML) algorithms, emphasizing the growing importance of interpretability in understanding automated decisions. Progress from early to advanced ML models highlights the need for better performance...
LA  - eng
M2  - 265
PB  - Universidad de La Rioja
KW  - Decision-making
KW  - Machine learning
KW  - XAI
KW  - Interpretability
KW  - AI
KW  - AHP
TI  - The pivotal role of interpretability in employee attrition prediction and decision-making
TY  - book part
VL  - 1
ER  -