evaluate_ranking_direct: Evaluate a ranking
In rcannood/GENIE3: GENIE3: GEne Network Inference with Ensemble of Trees
Description
Usage
Arguments
Value
See Also
View source: R/evaluate_ranking_direct.R
Description
Evaluate a ranking
Usage
1
2
evaluate_ranking_direct(values, are_true, num_positive_interactions,
num_possible_interactions, extend_by = 10000)
Arguments
values
A vector of importance values of predicted interactions.
are_true
A vector denoting whether the corresponding predicted interactions are true.
num_positive_interactions
The total number of positives.
num_possible_interactions
The total number ranked values.
extend_by
The number of steps with which to fill the ranking as if random, if only a part of the ranking is given.
Value
A list containing two items, the ranked evaluation and the area under the curve scores
See Also
rcannood/GENIE3 documentation built on Jan. 28, 2021, 4:28 a.m.
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Description Usage Arguments Value See Also
View source: R/evaluate_ranking_direct.R
Description
Evaluate a ranking
Usage
1 2 | evaluate_ranking_direct(values, are_true, num_positive_interactions,
num_possible_interactions, extend_by = 10000)
|
Arguments
values |
A vector of importance values of predicted interactions. |
are_true |
A vector denoting whether the corresponding predicted interactions are true. |
num_positive_interactions |
The total number of positives. |
num_possible_interactions |
The total number ranked values. |
extend_by |
The number of steps with which to fill the ranking as if random, if only a part of the ranking is given. |
Value
A list containing two items, the ranked evaluation and the area under the curve scores
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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