multiroc: ROC Curves for Multi-Class Analysis

In MultiClassROC: ROC Curves for Multi-Class Analysis

ROC Curves for Multi-Class Analysis

Description

Function 'multiroc' can be used for computing and visualizing Receiver Operating Characteristics (ROC) and Area Under the Curve (AUC) for multi-class classification problems. It supports both one-vs-one and one-vs-all approaches.

Usage

multiroc(y, x, k, type = c("OvO", "OvA"), plot = TRUE, data)

Arguments

y	A string, dependent variable
x	A vector of strings, independent variables
k	The number of categories
type	A string, "OvO" for one-vs-one, "OvA" for one-vs-all approach
plot	A logical, TRUE for the plot of the curves, FALSE for the average AUC
data	A data frame, the dataset to use

Value

plot with ROC curves using ggroc, pROC (if plot=TRUE) or the average AUC (if plot=FALSE)

Examples

multiroc(y="Species",
             x=c("Petal.Width","Petal.Length","Sepal.Width","Sepal.Length"),
             k=3, type=("OvA"),
             plot=TRUE,
             data=iris)
multiroc(y="Species",
             x=c("Petal.Width","Petal.Length","Sepal.Width","Sepal.Length"),
             k=3,
             type=("OvO"),
             plot=FALSE,
             data=iris)

MultiClassROC documentation built on July 26, 2023, 5:18 p.m.