README.md
In rpribeiro/uba: Utility-based Algorithms
UBA
The uba package is developed in R and comprehends a set of tools designated for regression algorithms in non-uniform costs domains. Namely, it includes utility-based performance metrics, utility-based curves and an utility-based regression rules ensemble system.
A more complete description of these functionalities is available on my PhD Thesis: Utility-based Regression.
Installation
Help
Example
library(uba)
library(rpart)
data(NO2Emissions)
y <- NO2Emissions$LNO2
m <- rpart(LNO2 ~.,NO2Emissions)
ypred <-predict(m)
pP <- phi.control(y,method="extremes",extr.type="high")
lP <- loss.control(y)
rpribeiro/uba documentation built on May 29, 2019, 8:50 a.m.
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UBA
The uba package is developed in R and comprehends a set of tools designated for regression algorithms in non-uniform costs domains. Namely, it includes utility-based performance metrics, utility-based curves and an utility-based regression rules ensemble system.
A more complete description of these functionalities is available on my PhD Thesis: Utility-based Regression.
Installation
Help
Example
library(uba) library(rpart) data(NO2Emissions) y <- NO2Emissions$LNO2 m <- rpart(LNO2 ~.,NO2Emissions) ypred <-predict(m) pP <- phi.control(y,method="extremes",extr.type="high") lP <- loss.control(y)
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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