Data underpinning : Greedy and linear ensembles of machine learning methods outperform single approaches for QSPR regression problems

William Kew (Creator)
John B. O. Mitchell (Creator)

Dataset

Date made available	2015
Publisher	University of St Andrews

Keywords

Machine Learning
Quantitative structure-property relationships
Greedy ensembles
Linear ensembles

Contact

[email protected]

Access Dataset

SI.zip
File: multipart/x-zip, 1.32 MB
Type: Dataset
Licence: CC BY

1 Article

Greedy and linear ensembles of machine learning methods outperform single approaches for QSPR regression problems
Kew, W. & Mitchell, J. B. O., Sept 2015, In: Molecular Informatics. 34, 9, p. 634-647
Research output: Contribution to journal › Article › peer-review

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