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In 2004, following five OECD principles for model validation were adopted to validate a QSAR model for its regulatory consideration: a) a defined endpoint; b) an unambiguous algorithm; c) a defined domain of applicability d) appropriate measures for goodness-of-fit, robustness and predictivity and e) mechanistic interpretation, if possible [3].
Based on these results, an external and an internal model validation were attained.
The experimental data for model validation were collected during a test campaign on two sets of CFRP flat stiffened panels.
For this reason, studies that used only model verification (some studies may called it by "model validation") were not included in our review [58 62].
Ecological inventory data from 1982 to 1989 used for the model validation were obtained from a plantation of Japanese larch (Larix kaempferi (Lamb).
Covariate selection and model validation were performed using 10-fold cross-validation (CV).
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The ultimate objective of the System Dynamics model validation is to establish the validity of the structure of the model.
Mechanistic interpretation and proper model validation are requirements of the OECD guidelines for valid (Q SAR models [14].
The formula is Model validation is an important aspect of any modelling exercise, frequently overlooked.
Model validation is one of the most critical parts of the modeling process.
Model validation was also performed.
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