2021
DOI: 10.3390/electronics10233045
|View full text |Cite
|
Sign up to set email alerts
|

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model

Abstract: Machine learning has the potential to predict unseen data and thus improve the productivity and processes of daily life activities. Notwithstanding its adaptiveness, several sensitive applications based on such technology cannot compromise our trust in them; thus, highly accurate machine learning models require reason. Such models are black boxes for end-users. Therefore, the concept of interpretability plays the role if assisting users in a couple of ways. Interpretable models are models that possess the qual… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
references
References 77 publications
(100 reference statements)
0
0
0
Order By: Relevance