Beyond the black box: Enhancing feature explainability in machine learning with SHAP and complementary approaches
Yoshiyasu Takefuji
Topics & Concepts
Artificial intelligenceMachine learningComputer scienceRobustness (evolution)Feature (linguistics)WorkflowFeature learningCurse of dimensionalityNonparametric statisticsNoveltyFeature engineeringRandom forestFeature selectionLeverage (statistics)Classifier (UML)Variable (mathematics)ChainingData miningCorrelogramCustodiansFeature extractionUnsupervised learningComponent (thermodynamics)Feature modelBayesian probabilityCategorizationPrioritizationProxy (statistics)Decision boundaryBinary classificationExplainable Artificial Intelligence (XAI)Advanced Causal Inference TechniquesAdversarial Robustness in Machine Learning