Gets the default measures using the information in mlr_reflections$default_measures:
"classif.ce"for classification ("classif")."regr.mse"for regression ("regr").Add-on package may register additional default measures for their own task types.
Value
list of Measure.
Examples
default_measures("classif")
#> $classif.ce
#>
#> ── <MeasureClassifSimple> (classif.ce): Classification Error ───────────────────
#> • Packages: mlr3 and mlr3measures
#> • Range: [0, 1]
#> • Minimize: TRUE
#> • Average: macro
#> • Parameters: list()
#> • Properties: weights
#> • Predict type: response
#> • Predict sets: test
#> • Aggregator: mean()
#>
default_measures("regr")
#> $regr.mse
#>
#> ── <MeasureRegrSimple> (regr.mse): Mean Squared Error ──────────────────────────
#> • Packages: mlr3 and mlr3measures
#> • Range: [0, Inf]
#> • Minimize: TRUE
#> • Average: macro
#> • Parameters: list()
#> • Properties: weights
#> • Predict type: response
#> • Predict sets: test
#> • Aggregator: mean()
#>