mlr (version 2.10)

ConfusionMatrix: 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.

Arguments

See Also

Other performance: calculateConfusionMatrix, calculateROCMeasures, estimateRelativeOverfitting, makeCostMeasure, makeCustomResampledMeasure, makeMeasure, measures, performance