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The descriptors are presented in decreasing order of variable importance.
A list of the 89 descriptors in decreasing order of variable importance is provided in the Additional file 2. Figure 5 Distribution of the 89 most important variables by classes of descriptors.
For the empirical and FIA classifications, the order of variable importance changed slightly when considering all plots versus eastern U.S. plots, but the most and least important variables stayed relatively constant.
The order of variable entry was based on theoretical importance.
Proteins are arranged in descending order of variable importance.
Table 3 also shows Wald χ estimates, indicating the rank order of variable impact on SRH.
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We also observed that the order of variables was an important aspect to be analyzed before starting the process.
Automated QSAR modeling workflow follows a RF based feature selection method and provide ranked order of variables without eliminating any variable.
Similarly, some inductive learning algorithms, such as greedy algorithms for learning probabilistic networks, are sensitive to the evaluation order of variables.
The capital letter X denotes a vector of variables; if the order of variables in X does not matter, we identify X with the set of its variables and apply set operators - for example we write y ϵ X.
Multivariate regression used stepwise comparison to determine the order of variables entering the model and used likelihood-ratio tests to determine the statistical significance of each variable.
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