Two Class Predictions

## Value

two_class_example

a data frame

## Details

These data are a test set form a model built for two classes ("Class1" and "Class2"). There are columns for the true and predicted classes and column for the probabilities for each class.

## Examples

data(two_class_example)
str(two_class_example)
#> 'data.frame':	500 obs. of  4 variables:
#>  $truth : Factor w/ 2 levels "Class1","Class2": 2 1 2 1 2 1 1 1 2 2 ... #>$ Class1   : num  0.00359 0.67862 0.11089 0.73516 0.01624 ...
#>  $Class2 : num 0.996 0.321 0.889 0.265 0.984 ... #>$ predicted: Factor w/ 2 levels "Class1","Class2": 2 1 2 1 2 1 1 1 2 2 ...
# truth is a 2 level factor. The first level is "Class1", which is the
# "event of interest" by default in yardstick. See the Relevant Level
# section in any classification function (such as ?pr_auc) to see how
# to change this.
levels(hpc_cv\$obs)
#> [1] "VF" "F"  "M"  "L"