naive_classification_summary_cv: Cross-Validated Posterior Classification Summaries for a...

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

Cross-Validated 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 a cross validated confusion matrix by which to assess the model's posterior classification quality.

Usage

naive_classification_summary_cv(model, data, y, k = 10)

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
k	the number of folds to use for cross validation

Value

a list

Examples

data(penguins_bayes, package = "bayesrules")
example_model <- e1071::naiveBayes(species ~ bill_length_mm, data = penguins_bayes)
naive_classification_summary_cv(model = example_model, data = penguins_bayes, y = "species", k = 2)

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