getThresholdSummary: Calculate all measures for sparse ROC
In OHDSI/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model
View source: R/ThresholdSummary.R
getThresholdSummary R Documentation
Calculate all measures for sparse ROC
Description
Calculate all measures for sparse ROC
Usage
getThresholdSummary(prediction, predictionType, typeColumn = "evaluation")
Arguments
prediction
A prediction object
predictionType
The type of prediction (binary or survival)
typeColumn
A column that is used to stratify the results
Details
Calculates the TP, FP, TN, FN, TPR, FPR, accuracy, PPF, FOR and Fmeasure
from a prediction object
Value
A data.frame with all the measures
OHDSI/PatientLevelPrediction documentation built on Sept. 15, 2024, 6:38 a.m.
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View source: R/ThresholdSummary.R
| getThresholdSummary | R Documentation |
Calculate all measures for sparse ROC
Description
Calculate all measures for sparse ROC
Usage
getThresholdSummary(prediction, predictionType, typeColumn = "evaluation")
Arguments
prediction |
A prediction object |
predictionType |
The type of prediction (binary or survival) |
typeColumn |
A column that is used to stratify the results |
Details
Calculates the TP, FP, TN, FN, TPR, FPR, accuracy, PPF, FOR and Fmeasure from a prediction 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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