View source: R/metapredict_confusion.R
calcConfusionValidation | R Documentation |
Calculate confusion matrices based on predictions for validation datasets.
calcConfusionValidation( predsList, lambda, sampleMetadata, className = "class", classLevels = NA, each = TRUE )
predsList |
list of predictions from |
lambda |
value of lambda at which to use predictions. |
sampleMetadata |
data.frame of sample metadata. |
className |
name of column in |
classLevels |
Order of classes in the confusion matrix. If |
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
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.