print_output

<p>A valid object (e.g., `IAUC`, `LAUC`)</p>

output

attrs

internal

Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018) <doi:10.1080/10543406.2017.1377728> provide two theoretical methods (influence function and local influence) based on the area under the receiver operating characteristic curve (AUC) to quantify the numerical impact of each observation to the overall AUC. Alternative graphical tools, cumulative lift charts, are proposed to reveal the existences and approximate locations of those influential observations through data visualization.

Bo-Shiang Ke

influenceAUC

Identify Influential Observations in Binary Classification

Yuan-chin Ivan Chang

Wen-Ting Wang

print_output function

Internal function: Print output — print_output

Internal function: Print output

print_output: Internal function: Print output

Description

Usage

Arguments