... the Shapley value, linked to the Mahalanobis distance (MD), and cell-wise outlier detection to facilitate the recognition of anomalous geochemical indicator elements. First, by considering the compositional nature of geochemical data, multivariate outliers are detected based on the MD in isometric log-ratio...

.... In this study, we conduct two types of sensitivity tests, such as Fréchet sensitivity analysis ( McGillivray and Oldenburg, 1990 ) and Shapley value regression ( Lipovetsky and Conklin, 2001 ). First, Fréchet sensitivity analysis investigates how the change of one specific input property causes that of output...

... error). A detailed feature importance analysis was conducted using feature importance, permutation, and Shapley values to clarify the correlation between the input and output parameters. The pressure was found to be the most impactful feature, followed by temperature and salinity. The model’s accuracy...

...Figure 9. For the test example specified at the top of the figure, we generate and compare local explanations for the decision of an RF classifier on the data point using (a) LIME and (b) Shapley values. The explanations agree to a large extent, emphasizing the important (positive) contributions...

... with reservoir permeability directly measured from the core samples ( R 2 > 0.6 ). The Shapley additive explanation values are then used to interpret the predictions of our LGB-WOA model. As expected, the porosity curve exhibits the highest feature importance among all input features, significantly...

... model prediction, understanding the importance of the features used as inputs to the machine learning model is meaningful. SHAP is a method proposed by Lundberg and Lee (2017) for explaining machine learning model predictions. Shapley values are a game theory concept used to measure the contribution...

... the average absolute Shapley values at the 0–15 Hz frequency band to show which are more important to distinguish it from other types (Fig.  4a and Text S3). The SHAP values are normalized to unit area to compare the relative differences among the supervised models. Figure 4. Feature importance...

...Figure 3. Shapley Additive Explanations (SHAP) values of various geological and operational factors. (a) Mean SHAP values of the eXtreme Gradient Boosting (XGBoost) model, representing the relative importance to the model output. The features are ordered based on their importance. (b) Detailed...

... Mg:Ca values shown in Figure 2 . OM oxidation raises hypolimnetic p CO 2 , lowers pH, and redissolves some calcite; highest hypolimnetic p CO 2 values correspond to lowest lake Mg:Ca shown in Figure 2 . Modified from Shapley et al. (2005) . ...