warping-package: Probability warping and calibration with undersampling
In dalpozz/warping: Probability warping and calibration with undersampling
Description
Details
Author(s)
Examples
Description
The package detect the condition under which undersampling is suppose to provide a better ranking.
The posterior probability of a classifier is calibrated to account for the change in class prior due to undersampling.
Details
Package: warping
Type: Package
Version: 1.0
Date: 2015-08-14
License: GPL (>= 3)
Author(s)
Andrea Dal Pozzolo, Olivier Caelen and Gianluca Bontempi
Maintainer: Andrea Dal Pozzolo <adalpozz@ulb.ac.be>
Examples
1
2
3
4
library(mlbench)
data(Ionosphere)
library(warping)
res <- warpingUnder(Class ~., Ionosphere, "randomForest", task.id="rf_Ionosphere", positive="bad", nCV=3, B=1, nFold=5)
dalpozz/warping documentation built on May 14, 2019, 3:32 p.m.
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Description Details Author(s) Examples
Description
The package detect the condition under which undersampling is suppose to provide a better ranking. The posterior probability of a classifier is calibrated to account for the change in class prior due to undersampling.
Details
| Package: | warping |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2015-08-14 |
| License: | GPL (>= 3) |
Author(s)
Andrea Dal Pozzolo, Olivier Caelen and Gianluca Bontempi
Maintainer: Andrea Dal Pozzolo <adalpozz@ulb.ac.be>
Examples
1 2 3 4 | library(mlbench)
data(Ionosphere)
library(warping)
res <- warpingUnder(Class ~., Ionosphere, "randomForest", task.id="rf_Ionosphere", positive="bad", nCV=3, B=1, nFold=5)
|
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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