ENBIS-23 Valencia Conference

Session

CONTRIBUTED Machine Learning 3

12 Sept 2023, 17:50

Auditorium

Conveners

CONTRIBUTED Machine Learning 3

• Nikolaus Haselgruber (CIS Consulting in Industrial Statistics GmbH)

9. Global Importance Measures for Machine Learning Model Interpretability, an Overview

Bertrand Iooss (EDF R&D)

12/09/2023, 17:50

Machine learning

Machine learning (ML) algorithms, fitted on learning datasets, are often considered as black-box models, linking features (called inputs) to variables of interest (called outputs). Indeed, they provide predictions which turn out to be difficult to explain or interpret. To circumvent this issue, importance measures (also called sensitivity indices) are computed to provide a better...

104. How Fair is Machine Learning in Credit Scoring?

Golnoosh Babaei (University of Pavia)

12/09/2023, 18:10

Machine learning

Machine learning (ML) algorithms, in credit scoring, are employed to distinguish between borrowers classified as class zero, including borrowers who will fully pay back the loan, and class one, borrowers who will default on their loan. However, in doing so, these algorithms are complex and often introduce discrimination by differentiating between individuals who share a protected attribute...

148. Big Behavioral Data - How Machine Learning Made Students Learn More DOE

John Tyssedal (NTNU)

12/09/2023, 18:30

Machine learning

Some years ago the largest bank in our region came to the university and offered project and master thesis on bank related problems and huge data sets. This was very well received by students and it became an arena for learning and job-related activity. The students got practice in working with imbalanced data, data pre-processing, longitudinal data, feature creation/selection and...