Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression
Uncertainty measures estimate the reliability of a predictive model. Especially in the field of molecular property prediction as part of drug design, model reliability is crucial. Besides other techniques, Random Forests have a long tradition in machine learning related to chemoinformatics and are w...
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Formato: | article |
Lenguaje: | EN |
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MDPI AG
2021
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Acceso en línea: | https://doaj.org/article/d15d70fe033b45f9aeceb06f4d3b08ee |
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