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Multiclass classification using nnet::multinom.
nnet::multinom
cla_multinom(attribute, features = NULL)
returns a cla_multinom object
cla_multinom
target attribute name
optional vector of feature names (default: all except attribute)
data(iris) model <- cla_multinom("Species") model <- fit(model, iris) pred <- predict(model, iris) eval <- evaluate(model, adjust_class_label(iris$Species), pred) eval$metrics
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