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LGB-Stack: Stacked Generalization with LightGBM for Highly Accurate Predictions of Polymer Bandgap
[Image: see text] Recently, the Ramprasad group reported a quantitative structure–property relationship (QSPR) model for predicting the E(gap) values of 4209 polymers, which yielded a test set R(2) score of 0.90 and a test set root-mean-square error (RMSE) score of 0.44 at a train/test split ratio o...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434625/ https://www.ncbi.nlm.nih.gov/pubmed/36061712 http://dx.doi.org/10.1021/acsomega.2c02554 |