k-fold cross validation plot — kfoldxcv

A graphic for visualising the true class and the predicted class of samples in all groups for all cross-validation folds.

Usage

kfoldxcv_grid(factor_name, level, ...)

Arguments

factor_name: (character) The name of a sample-meta column to use.
level: (character) The level/group to plot.
...: Additional slots and values passed to struct_class.

Value

A kfoldxcv_grid object. This object has no output slots. See chart_plot in the struct package to plot this chart object.

Inheritance

A kfoldxcv_grid object inherits the following struct classes:

[kfoldxcv_grid] >> [chart] >> [struct_class]

Examples

M = kfoldxcv_grid(
      factor_name = "V1",
      level = "level_1")

D = iris_DatasetExperiment()
I = kfold_xval(factor_name='Species') *
    (mean_centre() + PLSDA(factor_name='Species'))
I = run(I,D,balanced_accuracy())

C = kfoldxcv_grid(factor_name='Species',level='setosa')
chart_plot(C,I)
#> Warning: Removed 900 rows containing missing values or values outside the scale range
#> (`geom_tile()`).