Counterfactual explanations for machine learning models on heterogeneous data

Counterfactual explanation aims to identify minimal and meaningful changes required in an input instance to produce a different prediction from a given model. Counterfactual explanations can assist users in comprehending the model's current prediction, detecting model unfairness, and providing...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Yongjie
Other Authors: Miao Chun Yan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169968
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first