oneR {FSelector} | R Documentation |
The algorithms find weights of discrete attributes basing on very simple association rules involving only one attribute in condition part.
oneR(formula, data)
formula |
a symbolic description of a model |
data |
data to process |
The algorithm uses OneR classifier to find out the attributes' weights. For each attribute it creates a simple rule based only on that attribute and then calculates its error rate.
a data.frame containing the worth of attributes in the first column and their names as row names
Piotr Romanski
library(mlbench) data(HouseVotes84) weights <- oneR(Class~., HouseVotes84) print(weights) subset <- cutoff.k(weights, 5) f <- as.simple.formula(subset, "Class") print(f)