XAItest: Enhancing Feature Discovery with eXplainable AI

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Documentation for package ‘XAItest’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

.objXAI	ObjXAI class
getFeatImpThresholds	The getFeatImpThresholds function identifies the minimum level of feature importance required to exceed a specified significance threshold, which is determined by the p-value.
getMetricsTable	Get the Metrics Table
getMetricsTable-method	Get the Metrics Table
mapPvalImportance	The mapPvalImportance function displays a datatable with color-coded cells based on significance thresholds for feature importance and p-value columns.
modelsOverview	Models Overview
ObjXAI-class	ObjXAI class
plotModel	Plot the model
setMetricsTable	Set the Metrics Table
setMetricsTable-method	Set the Metrics Table
show-method	Show Method for ObjXAI
XAI.test	The XAI.test function complements t-test and correlation analyses in feature discovery by integrating eXplainable AI techniques such as feature importance, SHAP, LIME, or custom functions. It provides the option of automatic integration of simulated data to facilitate matching significance between p-values and feature importance.