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In the model, for each hypersphere (expert), a quantity, which expresses the total fit of data to this hypersphere, is utilized for model selection.
The Akaike information criterion was utilized for model selection.
Similar(58)
A Lasso model (or L1 penalty) was utilized in the phase I testing study because of its desirable feature for model selection, which has a minimal effect on associated CpG coefficients while setting the unassociated CpGs' coefficients to zero.
Two criteria were used for model selection.
Akaike Information Criterion (AIC) was used for model selection.
Multiple phases were required for model selection and development.
MS stands for model selection.
For model selection, we used the AIC.
Stepwise method was used for model selection.
We used AIC for model selection.
We utilized an AICc model selection and model averaging approach to test for potential environmental influence on these traits.
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