acc_plot: Plot Model Accuracy

In bmcguir8/mcguiR: Quick Plotting to Compare Regression Models

Description

only supports binary logistic regression at this time

Usage

acc_plot(accuracy_data, y = "correct")

Arguments

accuracy_data	data generated by mcguiR::accuracy.log()
y	desired value to be plotted - could be "correct", "incorrect", or "both"

Value

a plot of accuracy at each probability threshold

Examples

## Not run: 
iris2 <- iris[stringr::str_detect(Species, "setosa", negate = T), ]
irismodel <- glm(Species ~ ., data = iris2, family = binomial)
acc_data <- accuracy(irismodel, iris2, iris2$Species, "virginica", "versicolor")
acc_plot(acc_data, y = "both")
## End(Not run)

bmcguir8/mcguiR documentation built on Jan. 7, 2021, 8:40 p.m.