Creates a measure for non-standard misclassification costs.
Creates a cost measure for non-standard classification error costs.
makeCostMeasure( id = "costs", minimize = TRUE, costs, combine = mean, best = NULL, worst = NULL, name = id, note = "" )
id |
( |
minimize |
( |
costs |
(matrix) |
combine |
( |
best |
( |
worst |
( |
name |
(character) |
note |
(character) |
Other performance:
ConfusionMatrix
,
calculateConfusionMatrix()
,
calculateROCMeasures()
,
estimateRelativeOverfitting()
,
makeCustomResampledMeasure()
,
makeMeasure()
,
measures
,
performance()
,
setAggregation()
,
setMeasurePars()
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.