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The choice of λ largely controls how many predictors are selected, and therefore must be carefully justified.
As many predictors are correlated, such as LAZ and WAZ, we chose only one representative variable from each category we wished to control for.
Placing a penalty on the size of coefficients in the multiple regression leads to moderated estimates of coefficient effects, allowing their stable estimation even when many predictors are in the model.
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Regression equations based on many predictors were developed in the Syrian population.
Obtaining the weights for infinitely many predictors is not possible.
Many efforts have been made for DNA-binding protein identification and many predictors have been proposed.
Many predictors have been developed based on either amino acid hydrophobicity scale or pure statistical approaches.
In the field of DNA-binding protein identification, many predictors have been proposed, but most of them focus on only one classification algorithm and cannot make full use of the large number of negative samples to improve its performance.
Random forests is a tree based model where many tree predictors are stacked together to form one model.
Approaching a predictive problem without a specific causal hypothesis can be quite effective when many potential predictors are available (increasingly common with electronic health records) and when there are interactions between predictors, which are common in biological and social causative processes.
However many of these predictors are themselves strongly correlated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com