naive_classification_summary: Posterior Classification Summaries for a Naive Bayes model

In mdogucu/bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book

Posterior Classification Summaries for a Naive Bayes model

Description

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.

Usage

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

Value

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")

mdogucu/bayesrules documentation built on April 23, 2022, 2:46 a.m.