Regression measures defined as Spearman's rank correlation coefficient between truth and response.
Calls stats::cor() with method set to "spearman".
This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():
mlr_measures$get("srho")
msr("srho")
Type: "regr"
Range: \([-1, 1]\)
Minimize: FALSE
Required prediction: response
Dictionary of Measures: mlr_measures
as.data.table(mlr_measures) for a complete table of all (also dynamically created) Measure implementations.
Other regression measures:
mlr_measures_regr.bias,
mlr_measures_regr.ktau,
mlr_measures_regr.mae,
mlr_measures_regr.mape,
mlr_measures_regr.maxae,
mlr_measures_regr.medae,
mlr_measures_regr.medse,
mlr_measures_regr.mse,
mlr_measures_regr.msle,
mlr_measures_regr.pbias,
mlr_measures_regr.rae,
mlr_measures_regr.rmse,
mlr_measures_regr.rmsle,
mlr_measures_regr.rrse,
mlr_measures_regr.rse,
mlr_measures_regr.rsq,
mlr_measures_regr.sae,
mlr_measures_regr.smape,
mlr_measures_regr.sse