Feature purify: An examination of spurious correlations in high-entropy alloys
Patterns in datasets, while key to successful predictions, can also be misleading. In this study, a feature filtering workflow based on interpretable dimensionality reduction techniques was developed to diagnose the spurious correlations in high-entropy alloy dataset with phase structure and hardnes...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127524001576 |