naive_classification_summary function

Posterior Classification Summaries for a Naive Bayes model

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)

Arguments

• 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

Returns

a list

Examples

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")