Functions to find a short and accurate decision rule in disjunctive normal form using the Exhaustive Procedure for LOgic-Rule Extraction (EXPLORE) algorithm. The application performs and exhaustive search on all Boolean Normal Form decision rules.
You can install the latest version of EXPLORE like so:
install.packages("remotes")
remotes::install_github("mi-erasmusmc/EXPLORE")
Additional instructions: to be added.
library(Explore)
library(farff)
Load data:
data <- farff::readARFF(system.file("examples/iris.arff", package = "Explore"))
output_path <- file.path(getwd(), "output//")
Fit model with defaults and/or input parameters:
model <- Explore::trainExplore(output_path = output_path,
file_name = "iris",
train_data = data,
ClassFeature = "'class'",
PositiveClass = '"Iris-versicolor"')
Predict:
prediction <- Explore::predictExplore(model, test_data = data)
EXPLORE is under active development.
Rijnbeek, P.R., Kors, J.A. Finding a short and accurate decision rule in disjunctive normal form by exhaustive search. Machine Learning 80, 33–62 (2010). https://doi.org/10.1007/s10994-010-5168-9