Explainable Artificial Intelligence

  1. Tree Ensemble Specific Methods
    1. Feature Importance in Ensembles
      1. Gini Importance
        1. Impurity Reduction Measurement
          1. Weighted Averaging Across Trees
          2. Permutation Importance
            1. Out-of-Bag Error Changes
              1. Cross-Validation Approaches
              2. SHAP TreeExplainer
                1. Efficient Exact Computation
                  1. Polynomial Time Algorithm
                2. Individual Tree Analysis
                  1. Tree Visualization
                    1. Decision Path Representation
                      1. Node Importance Analysis
                      2. Tree Diversity Analysis
                        1. Prediction Variance Decomposition
                          1. Ensemble Agreement Measurement
                        2. Rule Extraction from Ensembles
                          1. Global Rule Extraction
                            1. Ensemble Simplification
                              1. Rule Pruning Techniques
                              2. Local Rule Extraction
                                1. Instance-Specific Rules
                                  1. Path Aggregation Methods

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                              5. Deep Learning Specific Explanation Methods

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                              7. Evaluation of Explanations