photo_classify: Photo classifications: fashion or not

In JECheadle/RSOC317L: Data Sets and Supplemental Functions from David Diez's 'OpenIntro' Textbook

Description

This is a simulated data set for photo classifications based on a machine learning algorithm versus what the true classification is for those photos. While the data are not real, they resemble performance that would be reasonable to expect in a well-built classifier.

Usage

data("photo_classify")

Format

A data frame with 1822 observations on the following 2 variables.

mach_learn

The prediction by the machine learning system as to whether the photo is about fashion or not.

truth

The actual classification of the photo by a team of humans.

Details

The hypothetical ML algorithm has a precision of 90%, meaning of those photos it claims are fashion, about 90% of them are actually about fashion. The recall of the ML algorithm is about 64%, meaning of the photos that are about fashion, it correctly predicts that they are about fashion about 64% of the time.

Source

The data are simulated / hypothetical.

Examples

data(photo_classify)
table(photo_classify)

JECheadle/RSOC317L documentation built on May 15, 2019, 4:02 a.m.