Sentence examples for variable ranking from inspiring English sources

The variable ranking by relative importance differed for each algorithm.

Also described are the procedures used for variable reduction/selection either based on random forests variable ranking, principal components analysis and genetic algorithms.

However, such variable will turn out as very important in the overall variable ranking.

Our solution to the variable ranking involves ensemble learning.

A more relaxed objective of the gene selection is the variable ranking, where the relative relevance for all input columns of the X− k matrix is obtained with respect to the target vector Y k.

These variable ranking models measure features from various perspectives, and lead to different ranking results.

The self-rated health was an ordinal five-point variable, ranked as very good, good, fair, bad, and very bad.

The transformations include the following: p(i) ≤ (α/m)*i, where m is the number of tests (variables) and i is the test (variable) ranked in ascending order, i.e., p(1) ≤ ….. ≤ p(m).

Hence, the output of these two meta-nodes is a processed input data rearranged by two kinds of variable rankings methods, first by scaled variable importance based ranked order, and second by unscaled importance based variables ranking.

In this procedure one sample from the training set is left out and a variables ranking is obtained on the basis of the remaining objects.

In the given problems, the maximum reduction of the features is 1037 9 variables ranked by scaled importance approach and 1079 29 variables in the case of unscaled importance.