naive_classification_summary {bayesrules} | R Documentation |
Given a set of observed data including a categorical response variable y and a naiveBayes model of y, this function returns summaries of the model's posterior classification quality. These summaries include a confusion matrix as well as an estimate of the model's overall accuracy.
naive_classification_summary(model, data, y)
model |
a naiveBayes model object with categorical y |
data |
data frame including the variables in the model |
y |
a character string indicating the y variable in data |
a list
data(penguins_bayes, package = "bayesrules") example_model <- e1071::naiveBayes(species ~ bill_length_mm, data = penguins_bayes) naive_classification_summary(model = example_model, data = penguins_bayes, y = "species")