Calculate confusion matrices (or matrix) for validation datasets.

Calculate confusion matrices based on predictions for validation datasets.

calcConfusionValidation(
  predsList,
  lambda,
  sampleMetadata,
  className = "class",
  classLevels = NA,
  each = TRUE
)

Arguments

predsList	list of predictions from `metapredict()`.
lambda	value of lambda at which to use predictions.
sampleMetadata	data.frame of sample metadata.
className	name of column in `sampleMetadata` containing the true labels.
classLevels	Order of classes in the confusion matrix. If `NA` (default), then the function uses the order in `cvFit`.
each	logical indicating whether to calculate a confusion matrix for each validation dataset (default) or one confusion matrix including all datasets.

If isTRUE(each), a list of objects of class table. Otherwise, an object of class table.