cla_majority | R Documentation |
This function creates a classification object that uses the majority vote strategy to predict the target attribute. Given a target attribute, the function counts the number of occurrences of each value in the dataset and selects the one that appears most often.
cla_majority(attribute, slevels)
attribute |
attribute target to model building. |
slevels |
possible values for the target classification. |
returns a classification object.
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
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