mlr3proba (version 0.2.4)

mlr_measures_surv.maeSE: Standard Error of Mean Absolute Error Survival Measure

Description

Calculates the standard error of MeasureSurvMAE.

The standard error of the MAE, L, is approximated via $$se(L) = sd(L)/\sqrt{N}$$

Censored observations in the test set are ignored.

Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

MeasureSurvMAESE$new()
mlr_measures$get("surv.maeSE")
msr("surv.maeSE")

Meta Information

• Type: "surv"

• Range: \([0, \infty)\)

• Minimize: TRUE

• Required prediction: response

Super classes

mlr3::Measure -> mlr3proba::MeasureSurv -> MeasureSurvMAESE

Methods

Public methods

• MeasureSurvMAESE$new()

• MeasureSurvMAESE$clone()

• mlr3::Measure$aggregate()

• mlr3::Measure$format()

• mlr3::Measure$help()

• mlr3::Measure$score()

• mlr3proba::MeasureSurv$print()

Method new()

Creates a new instance of this R6 class.

Usage

MeasureSurvMAESE$new()

Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureSurvMAESE$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other survival measures: mlr_measures_surv.beggC, mlr_measures_surv.calib_alpha, mlr_measures_surv.calib_beta, mlr_measures_surv.chambless_auc, mlr_measures_surv.cindex, mlr_measures_surv.gonenC, mlr_measures_surv.grafSE, mlr_measures_surv.graf, mlr_measures_surv.harrellC, mlr_measures_surv.hung_auc, mlr_measures_surv.intloglossSE, mlr_measures_surv.intlogloss, mlr_measures_surv.logloss_se, mlr_measures_surv.logloss, mlr_measures_surv.mae, mlr_measures_surv.mseSE, mlr_measures_surv.mse, mlr_measures_surv.nagelk_r2, mlr_measures_surv.oquigley_r2, mlr_measures_surv.rmseSE, mlr_measures_surv.rmse, mlr_measures_surv.schmid, mlr_measures_surv.song_auc, mlr_measures_surv.song_tnr, mlr_measures_surv.song_tpr, mlr_measures_surv.unoC, mlr_measures_surv.uno_auc, mlr_measures_surv.uno_tnr, mlr_measures_surv.uno_tpr, mlr_measures_surv.xu_r2

Other response survival measures: mlr_measures_surv.mae, mlr_measures_surv.mseSE, mlr_measures_surv.mse, mlr_measures_surv.rmseSE, mlr_measures_surv.rmse