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The "swap experiment" is based on the recommendations of the MicroArray Quality Control (MAQC -II study [ 30] and consisted of swapping the training and validation sets, generating new factors from the original validation set and then validating these new factors in the original training set.
Since it is not statistically valid to test multiple divisions with corrections for multiple sampling, rigorous statistical evaluation is achieved by defining divisions in a training set and then validating them in an independent non-overlapping validation set.
It would require moving the data from its current format, then validating the ownership records before putting it on the blockchain.
The first step consisted in parameterizing and initializing a semi-mechanistic process-based model then validating the prediction performance using 2/3 of the datasets.
The marriage of Petri nets with temporal logics seems a suitable formalism for translating and then validating UML state-based models.
Google of course is doing everything it can to play along, keeping the pressure on Flash with YouTube while hand waving about ChromeOS and then validating the iPhone/iPad model by committing to Android as its tablet OS.
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The efficacy of the age-adjusted metanephrine score was then validated in the validation set.
The models were then validated using the validation set to assess their prediction performance.
This cut-off value was then validated with two independent validation datasets.
The multiple imputation strategy developed was then validated on the 30% validation sample.
It was, then, validated against an additional 100-patient subset (validation subset).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com