ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure
Overview & Synopsis
We studied the utility of using machine learning algorithms in the estimation of feature importance and to visualize their dependence on Ethicality. Through our analysis and partial dependence plot we found linear relationships among variables and gained insight into features that might cause certain types of ethical behaviour.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure |
|---|---|
| Author / Organization | Pablo Rivas, Pamela J Harper, John C Cary, William S Brown |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2019 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-32381 |
| Original Source Link | Visit Source Page on hal.science » |