getThresholdSummary: Calculate all measures for sparse ROC
In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model
Description
Usage
Arguments
Details
Value
Description
Calculate all measures for sparse ROC
Usage
1
getThresholdSummary(prediction)
Arguments
prediction
A prediction object as generated using the
predictProbabilities function.
Details
Calculates the TP, FP, TN, FN, TPR, FPR, accuracy, PPF, FOR and Fmeasure
from a predition object
Value
A data.frame with all the measures
hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.
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Description Usage Arguments Details Value
Description
Calculate all measures for sparse ROC
Usage
1 | getThresholdSummary(prediction)
|
Arguments
prediction |
A prediction object as generated using the
|
Details
Calculates the TP, FP, TN, FN, TPR, FPR, accuracy, PPF, FOR and Fmeasure from a predition object
Value
A data.frame with all the measures
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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