Two Class Predictions
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"