Secondly, the design process is realized in three decision levels, ordered according to the importance of the decisions taken.
Principal components are extracted by a linear transformation to a new set of features which are uncorrelated and are ordered according to their importance.
Candidate variables are, then, ordered according to their importance, where the variable chosen most frequently is ranked first.
In the example, these are four brokers who are ordered according to their importance, from left to right, with the leftmost broker being the one with the best predictions.
The variables are then ordered according to their relative importance, where the importance of a variable is measured by the proportion (s) it is selected as a predictor and as well as the proportion (v) at which it is significant in the validation data set.
For variable importance calculated by random forests, a list of the variables is presented, along with their average and standard deviation of the importance score in the ten runs (ordered according to the average variable importance score).
The POOL server returns a list of all residues, rank ordered according to their probability of functional importance.
A pre-defined set of genes S (such as genes sharing the same metabolic pathways) 2. A list of genes L ordered according to some ranking criteria of importance to the researcher.
These attributes are ordered according to their influence on the overall opinion in order to quantify their relative importance.
In the frequency mode, the data is ordered according to their frequency band, i.e. DC, LP, and HP, which are then transmitted according to their importance starting with the low-frequency portions.
You can rank them according to importance.[7].
