yardstick (version 0.0.7)

hpc_cv: Multiclass Probability Predictions

Description

Multiclass Probability Predictions

Value

hpc_cv

a data frame

Details

This data frame contains the predicted classes and class probabilities for a linear discriminant analysis model fit to the HPC data set from Kuhn and Johnson (2013). These data are the assessment sets from a 10-fold cross-validation scheme. The data column columns for the true class (obs), the class prediction (pred) and columns for each class probability (columns VF, F, M, and L). Additionally, a column for the resample indicator is included.

Examples

# NOT RUN {
data(hpc_cv)
str(hpc_cv)

# `obs` is a 4 level factor. The first level is `"VF"`, 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)
# }

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