hpc_cv: Class probability predictions

In modeldata: Data Sets Useful for Modeling Examples

Class probability predictions

Description

Class probability predictions

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.

Value

hpc_cv

a data frame

Source

Kuhn, M., Johnson, K. (2013) Applied Predictive Modeling, Springer

Examples

data(hpc_cv)
str(hpc_cv)

modeldata documentation built on June 22, 2024, 9:16 a.m.