prauc_table.SuperLearner: Table of PR-AUCs from SuperLearner result

Description Usage Arguments Value References Examples

View source: R/prauc_table.SuperLearner.R

Description

Calculates precision-recall AUC for each learner in the SuperLearner.

Usage

1
2
## S3 method for class 'SuperLearner'
prauc_table(x, y = x$Y, sort = TRUE, ...)

Arguments

x

SuperLearner object

y

Outcome vector, if not already added to SL object.

sort

Sort table by order of AUC.

...

Any additional unused arguments, due to the prauc_table generic.

Value

Dataframe table with PR-AUCs.

References

Polley EC, van der Laan MJ (2010) Super Learner in Prediction. U.C. Berkeley Division of Biostatistics Working Paper Series. Paper 226. http://biostats.bepress.com/ucbbiostat/paper266/

van der Laan, M. J., Polley, E. C. and Hubbard, A. E. (2007) Super Learner. Statistical Applications of Genetics and Molecular Biology, 6, article 25. http://www.degruyter.com/view/j/sagmb.2007.6.issue-1/sagmb.2007.6.1.1309/sagmb.2007.6.1.1309.xml

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
library(SuperLearner)
library(ck37r)

data(Boston, package = "MASS")

set.seed(1)
sl = SuperLearner(Boston$chas, subset(Boston, select = -chas),
                  family = binomial(),
                  SL.library = c("SL.mean", "SL.glm"))

prauc_table(sl, y = Boston$chas)

ck37r documentation built on Feb. 6, 2020, 5:09 p.m.