Exploration of black boxes of supervised machine learning models: A demonstration on development of predictive heart risk score

Exploration of black boxes of supervised machine learning models: A demonstration on development of predictive heart risk score

Machine learning (ML) often provides applicable high-performance models to facilitate decision-makers in various fields. However, this high performance is achieved at the expense of the interpretability of these models, which has been criticized by practitioners and has become a significant hindranc...

Full description

Bibliographic Details
Main Authors: Sajid, Mirza Rizwan, Khan, Arshad Ali, Albar, Haitham M., Noryanti, Muhammad, Sami, Waqas, Bukhari, Syed Ahmad Chan, Wajahat, Iram
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/35145/
http://umpir.ump.edu.my/id/eprint/35145/1/Exploration%20of%20black%20boxes%20of%20supervised%20machine%20learning%20models_A%20demonstration%20on%20development.pdf

Similar Items

Similar Items