Model stacking to improve prediction and variable importance robustness for soft sensor development
This paper presents an interpretable ensemble modelling method, in which the predictions of several individual base learners are combined together through Stacked generalisation, which makes use of a secondary layer model, or so called meta-learner, that is trained on the output cross-validation pre...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | Digital Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772508122000254 |