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Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass Classification
Applied datasets can vary from a few hundred to thousands of samples in typical quantitative structure-activity/property (QSAR/QSPR) relationships and classification. However, the size of the datasets and the train/test split ratios can greatly affect the outcome of the models, and thus the classifi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922354/ https://www.ncbi.nlm.nih.gov/pubmed/33669834 http://dx.doi.org/10.3390/molecules26041111 |