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Parameter optimizations of the three machine learning algorithm models
Last updated date: May 17, 2021 Views: 883 Forks: 0
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We used grid search method to select the optimal parameters for the three machine learning algorithm models, and the model with the highest R2 and lowest RMSE was selected as the best performance model.
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How to cite：
Readers should cite both the Bio-protocol preprint and the original research article where this protocol was used:
- Huang, N and Wang, L(2021). Parameter optimizations of the three machine learning algorithm models. Bio-protocol Preprint. bio-protocol.org/prep1095.
- Huang, N., Wang, L., Song, X., Black, T. A., Jassal, R. S., Myneni, R. B., Wu, C., Wang, L., Song, W., Ji, D., Yu, S. and Niu, Z.(2020). Spatial and temporal variations in global soil respiration and their relationships with climate and land cover . Science Advances 6(41). DOI: 10.1126/sciadv.abb8508
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