| ConfusionMatrix {mlr} | R Documentation |
Confusion matrix
Description
The result of calculateConfusionMatrix.
Object members:
- result (matrix)
Confusion matrix of absolute values and marginals. Can also contain row and column sums of observations.
- task.desc (TaskDesc)
Additional information about the task.
- sums (
logical(1)) Flag if marginal sums of observations are calculated.
- relative (
logical(1)) Flag if the relative confusion matrices are calculated.
- relative.row (matrix)
Confusion matrix of relative values and marginals normalized by row.
- relative.col (matrix)
Confusion matrix of relative values and marginals normalized by column.
- relative.error (
numeric(1)) Relative error overall.
See Also
Other performance:
calculateConfusionMatrix(),
calculateROCMeasures(),
estimateRelativeOverfitting(),
makeCostMeasure(),
makeCustomResampledMeasure(),
makeMeasure(),
measures,
performance(),
setAggregation(),
setMeasurePars()
[Package mlr version 2.19.2 Index]