Efficiency of different measures for defining the applicability domain of classification models

Abstract The goal of defining an applicability domain for a predictive classification model is to identify the region in chemical space where the model’s predictions are reliable. The boundary of the applicability domain is defined with the help of a measure that shall reflect the reliability of an...

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Bibliographic Details
Main Authors: Waldemar Klingspohn, Miriam Mathea, Antonius ter Laak, Nikolaus Heinrich, Knut Baumann
Format: Article
Language:English
Published: BMC 2017-08-01
Series:Journal of Cheminformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13321-017-0230-2

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