CalibratR (version 0.1.2)

visualize_error_boxplot: visualize_error_boxplot

Description

compares error values among different calibration models. A boxplots is created from the n error values that were obtained during the n-times repeated Cross-Validation procedure. Different error values are implemented and can be compared: discrimination error = sensitivity, specificity, accuracy, AUC (when discrimination=TRUE) calibration error = ece, mce, rmse, class 0 cle, class 1 cle (when discrimination=FALSE) For the calculation of the errors, see the respective methods listed in the "see also" section

Usage

visualize_error_boxplot(list_models, discrimination = TRUE)

Arguments

list_models

list object that contains all error values for all trained calibration models. For the specific format, see the calling function visualize_calibratR.

discrimination

boolean (TRUE or FALSE). If TRUE, discrimination errors are compared between models; if FALSE calibration error is compared, Default: TRUE

Value

An object of class list, with the following components: if discrimination=TRUE

sens

ggplot2 boxplot that compares all evaluated calibration models with regard to sensitivity.

spec

ggplot2 boxplot that compares all evaluated calibration models with regard to specificity

acc

ggplot2 boxplot that compares all evaluated calibration models with regard to accuracy

auc

ggplot2 boxplot that compares all evaluated calibration models with regard to AUC

list_errors

list object that contains all discrimination error values that were used to construct the boxplots

if discrimination=FALSE

ece

ggplot2 boxplot that compares all evaluated calibration models with regard to expected calibration error

mce

ggplot2 boxplot that compares all evaluated calibration models with regard to maximum expected calibration error (MCE)

rmse

ggplot2 boxplot that compares all evaluated calibration models with regard to root mean square error (RMSE)

cle_0

ggplot2 boxplot that compares all evaluated calibration models with regard to class 0 classification error (CLE)

cle_1

ggplot2 boxplot that compares all evaluated calibration models with regard to class 1 classification error (CLE)

list_errors

list object that contains all calibration error values that were used to construct the boxplots

See Also

ggplot,aes,ggtitle,scale_x_discrete,geom_boxplot,theme,element_text melt,get_CLE_class,getECE,getMCE,getRMSE, evaluate_discrimination