fit_learningcurve {planningML} | R Documentation |
Generate descriptive summary for objects returned by functions in EHRsampling
Description
Generate descriptive summary for objects returned by functions in EHRsampling.
Usage
fit_learningcurve(df, testX, target = NULL)
Arguments
df |
data for learning curve fitting; first column is sample size, second column is AUC measurement. |
testX |
test data for prediction |
target |
target MCC/AUC that you want to achieve |
Value
fit_learningcurve()
returns the estimated power law model for the learning curve.
[Package planningML version 1.0.1 Index]