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]