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A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology

Articolo
Data di Pubblicazione:
2016
Abstract:
In the last years, external validation of QSAR models was the subject of intensive debate in the scientific literature. Different groups have proposed different metrics to find "the best" parameter to characterize the external predictivity of a QSAR model. This editorial summarizes the history of parameter development for the external QSAR model validation and suggests, once again, the concurrent use of several different metrics to assess the real predictive capability of QSAR models.
Tipologia CRIS:
Articolo su Rivista
Keywords:
History, 21st Century; Statistics as Topic; Models, Theoretical; Quantitative Structure-Activity Relationship; Chemistry (all); Chemical Engineering (all); Computer Science Applications1707 Computer Vision and Pattern Recognition; Library and Information Sciences
Elenco autori:
Gramatica, Paola; Sangion, Alessandro
Link alla scheda completa:
https://irinsubria.uninsubria.it/handle/11383/2066419
Pubblicato in:
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Journal
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URL

http://pubs.acs.org/journal/jcisd8
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