cla_majority: Majority baseline classifier

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Majority baseline classifier

Description

Trivial classifier that always predicts the most frequent class observed in the training data. Useful as a baseline.

Usage

cla_majority(attribute, slevels)

Arguments

attribute	attribute target to model building.
slevels	possible values for the target classification.

Value

returns a classification object.

Examples

data(iris)
slevels <- levels(iris$Species)
model <- cla_majority("Species", slevels)

# preparing dataset for random sampling
sr <- sample_random()
sr <- train_test(sr, iris)
train <- sr$train
test <- sr$test

model <- fit(model, train)

prediction <- predict(model, test)
predictand <- adjust_class_label(test[,"Species"])
test_eval <- evaluate(model, predictand, prediction)
test_eval$metrics

daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.