What is the variation in SHAP values when utilizing two distinct techniques in Python's SHAP library?

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The variation in SHAP values when utilizing two distinct techniques in Python's SHAP library depends on the specific techniques being used. There are several techniques available in the SHAP library, each with its own strengths and limitations. For example, standard Kernel SHAP computes Shapley values by approximating the true Shapley value with expectations over subsets of features, whereas Tree SHAP computes exact Shapley values for tree-based models. The techniques used can impact the accuracy, speed, and interpretability of the SHAP values obtained. It is important to choose the appropriate technique based on the data, model, and research question at hand.