Photo classifications: fashion or not

This is a simulated dataset 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

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.

Source

The data are simulated / hypothetical.

Details

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

Examples

data(photo_classify)
table(photo_classify)
#>               truth
#> mach_learn     fashion  not
#>   pred_fashion     197   22
#>   pred_not         112 1491