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Michiels, S., Koscielny, S. & Hill, C. Prediction of cancer outcome with microarrays: A multiple random validation strategy.
The above tested models performed well on mESC data using 10-fold cross-validation as a validation strategy.
Three-step development, optimization and validation strategy for GC fingerprints of Brazilian commercial gasoline is described.
We also discuss the validation strategy of the type checker, including integrations with other Circus tools.
We describe the modelling approach, the model validation strategy and the plant behaviour, as determined by sensitivity analyses.
In addition, the two parameters were set using fivefold cross validation strategy.
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The model was validated by a 10-fold cross-validation strategy (Fig 6C).
The performance of the classifier was tested using a leave-one-out cross-validation strategy.
Classification performance along with CI was obtained by a cross-validation strategy based on several partitions.
This five-fold cross-validation strategy was used to compute average accuracy of the classifiers.
Experiments were conducted using k-fold cross-validation strategy with a k value of 10.
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