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The final importance is computed by arithmetic means.
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The permutation importance was computed with the conditional permutation scheme proposed by Strobl and colleagues, which controls for the correlation of the predictor variables [ 27].
Of primary importance, differential expression is computed for each gene between each sample using a negative binomial distribution.
The importance of a feature is computed by swapping the feature value of the fragment and re-classifying the compound.
The term 'conditional' here refers to the fact that the variable importance of one variable is computed conditionally on the values of other associated/correlated predictor variables.
Step 4: The importance of each network component (link) is computed, based on the Network Component Importance [20] I g = Δε ε = ε G d − ε G − g, d ε G d where G - g is the resulting network after component g (link) is removed from network G. Step 5: If the removal results in no path connecting an OD pair, the demand for that OD pair is assigned to an abstract path with a cost of infinity.
Variable importance in the projection (VIP) is computed from influence (weight) on Y of every term in the model.
The importance score of each SNP is computed over all K trees in a RF.
The importance score at position x is computed as (2) where S is a node on the path from the root to the leaf corresponding to p, p x S denotes the probability distribution of amino acids at position x for the sequences within subtree S, and p x S c denotes the probability distribution of amino acids at position x over the other sequences.
The MI value represents importance score for each dimension and is computed as: Ileft({x}_{: i}, yright)= Hleft({x}_{: i}right)- Hleft({x}_{: i}, yright), (5).
The mid intensity importance MIntensity of a sub image S i is computed as (3).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com