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The classifying result will be considered as a miss recognition, and the OVR-SVMs classifying model is executed repeatedly until a given Boolean condition (d≤0.2) is met.
At the same time, this framework presents a mutual feedback mechanism for SVMs and the distance metric, which is more robust than a single classifying model.
The training set of the classifying model comprised a positive sample set and a negative sample set.
A perfect classifying model should have a 100% level of accuracy for the "correct" nodes and the "wrong" nodes.
Observe that the first phase of our system is data-driven; that is, we construct a classifying model from previous data.
This module includes two components: a novel boosting method to train the variant classifying model using high-confidence variants (e.g. common variants in HapMap as GATK recommended); and ranking of the likely true variants using a confidence score (details in the method section below).
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However, when combining modules (even just two) the cumulative-module classifier achieved consistently better performance than the classifying models of corresponding number of signature genes (Additional Figure 2, Additional File 3).
The aggregator expects an odd number of classifying models, ideally 3 or 5.
Ways of classifying models are presented and the experimental approach to model development through system identification and optimisation is introduced.
We classified model elements and derived modeling guidelines enabling the model-user to create comparable and exhaustive system structures.
We have conducted a range of numerical experiments to classify model behaviour.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com