Class probability predictions

Source

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

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

data(hpc_cv)
str(hpc_cv)
#> 'data.frame':	3467 obs. of  7 variables:
#>  $ obs     : Factor w/ 4 levels "VF","F","M","L": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ pred    : Factor w/ 4 levels "VF","F","M","L": 1 1 1 1 1 1 1 1 1 1 ...
#>  $ VF      : num  0.914 0.938 0.947 0.929 0.942 ...
#>  $ F       : num  0.0779 0.0571 0.0495 0.0653 0.0543 ...
#>  $ M       : num  0.00848 0.00482 0.00316 0.00579 0.00381 ...
#>  $ L       : num  1.99e-05 1.01e-05 5.00e-06 1.56e-05 7.29e-06 ...
#>  $ Resample: chr  "Fold01" "Fold01" "Fold01" "Fold01" ...