summary.bootstrapValidation: Generate a report of the results obtained using the...

Description Usage Arguments Value Author(s) See Also

Description

This function prints two tables describing the results of the bootstrap-based validation of binary classification models. The first table reports the accuracy, sensitivity, specificity and area under the ROC curve (AUC) of the train and test data set, along with their confidence intervals. The second table reports the model coefficients and their corresponding integrated discrimination improvement (IDI) and net reclassification improvement (NRI) values.

Usage

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	## S3 method for class 'bootstrapValidation_Bin'
summary(object,
	        ...)

Arguments

object

An object of class bootstrapValidation_Bin

...

Additional parameters for the generic summary function

Value

performance

A vector describing the results of the bootstrapping procedure

summary

An object of class summary.lm, summary.glm, or summary.coxph containing a summary of the analyzed model

coef

A matrix with the coefficients, IDI, NRI, and the 95% confidence intervals obtained via bootstrapping

performance.table

A matrix with the tabulated results of the blind test accuracy, sensitivity, specificities, and area under the ROC curve

Author(s)

Jose G. Tamez-Pena and Antonio Martinez-Torteya

See Also

summaryReport


FRESA.CAD documentation built on Jan. 13, 2021, 3:39 p.m.