evaluateAUC: Computes the AUC of a model
In predomics/predomicspkg: Interpretable Prediction in Omics Data
evaluateAUC R Documentation
Computes the AUC of a model
Description
Computes the AUC of a model
Usage
evaluateAUC(score, y, sign = ">")
Arguments
score:
the ^y score of the model
y:
the response vector
sign:
in which direction to make the comparison? "auto" (default): automatically define in which group
the median is higher and take the direction accordingly. ">": if the predictor values for the control group
are higher than the values of the case group (controls > t >= cases). "<": if the predictor values for the
control group are lower or equal than the values of the case group (controls < t <= cases).
Value
an auc value
predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.
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| evaluateAUC | R Documentation |
Computes the AUC of a model
Description
Computes the AUC of a model
Usage
evaluateAUC(score, y, sign = ">")
Arguments
score: |
the ^y score of the model |
y: |
the response vector |
sign: |
in which direction to make the comparison? "auto" (default): automatically define in which group the median is higher and take the direction accordingly. ">": if the predictor values for the control group are higher than the values of the case group (controls > t >= cases). "<": if the predictor values for the control group are lower or equal than the values of the case group (controls < t <= cases). |
Value
an auc value
R Package Documentation
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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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