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Problems cast in this environment can pose new challenges for computational analyses in both model validation and model-based prediction.
These results indicated that a stratified CV scheme is favorable for both model validation and selection.
SRCV performs at least as well as sensible hold-out partitioning schemes for both model validation and selection.
The outcomes of both model validation and selection depend highly on the specific noise realization in the data but we have only one realization available.
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Model validation and testing runs create predictions about new Compounds.
Hazard model validation and social vulnerability assessment deserve particular attention.
The rest was used for model validation and blind testing.
Several model performance matrices were analysed in the context of model validation and model selection [14].
Finally, model validation and sensitivity analysis were conducted.
This technique is known as split-sample model validation and is a robust method of model selection and validation [48].
10.7554/eLife.03701.006 Figure 3. Imaging data: model validation and rmPFC.
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