XAItest: Enhancing Feature Discovery with eXplainable AI


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Documentation for package ‘XAItest’ version 1.0.1

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.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.