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EPX (version 1.0.4)

Ensemble of Phalanxes

Description

An ensemble method for the statistical detection of a rare class in two-class classification problems. The method uses an ensemble of classifiers where the constituent models of the ensemble use disjoint subsets (phalanxes) of explanatory variables. We provide an implementation of the phalanx-formation algorithm. Please see Tomal et al. (2015) , Tomal et al. (2016) , and Tomal et al. (2019) for more details.

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Version

Install

install.packages('EPX')

Monthly Downloads

238

Version

1.0.4

License

GPL-3

Maintainer

Jabed Tomal

Last Published

July 6th, 2021

Functions in EPX (1.0.4)

IE

Calculate Initial Enhancement
TOP1

Calculate TOP1
harvest

Simulated dataset for testing the EPX package
BNhold

AID348 hold-out data using Burden Numbers for testing the EPX package
hit.curve

Plot hit curve
RKL

Calculate rank last
cv.epx

Balanced K-fold cross-validation for an "epx" object
AHR

Calculate AHR (or expected AHR)
epx

Fitting an Ensemble of Phalanxes
BNsample

AID348 sample (training) data with Burden Numbers for testing the EPX package
plot.epx

Plot hit curve for an "epx" object
predict.epx

Predict with an "epx" object
summary.epx

Summarising an "epx" object