Multiclass Probability Predictions
Multiclass Probability Predictions
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.
hpc_cv |
a data frame |
Kuhn, M., Johnson, K. (2013) Applied Predictive Modeling, Springer
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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