Mean Absolute SHAP values and their impact. by Dakota McCarty (17827264)

The influence of features on model predictions, presented as a SHAP heatmap. by Kamil Książek (22177742)

GTDE decreased the expression of the NLRP3 inflammasome and AGEs in the cerebral cortex. by Hui-Chuan Kuo (12368492)

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Illustration of SHAP. by Kai Zhang (102844)

“…Through multidimensional health recommendations based on SHAP and PCC interpretations, if the health recommendations provided by the model are implemented, 64.58% of individuals could potentially extend their life expectancy. …”

Significant effect of Topper Training on parent-reported (but not teacher-reported) emotional symptoms. by Lilian Vliek (8053037)

SHAP Analysis of the 48 Weeks Prediction Results. by Pianpian Xia (22070450)

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SHAP Analysis of the 12 Weeks Prediction Results. by Pianpian Xia (22070450)

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SHAP feature importance (Mean). by Bo Dong (218172)

“…A multidimensional performance metric system (accuracy, precision, recall, F1 score, and AUC value) was employed to comprehensively evaluate the classification performance of the models. SHAP (Shapley Additive Prediction) values were used to illustrate the contribution of different factors to the health status of the migrant population.…”

SHAP analysis for LITNET-2020 dataset. by Asmaa Ahmed Awad (16726315)

Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)

Visualization of mean absolute SHAP values for Interventional algorithm for each class. by Sadia Nazim (21440115)

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

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Global SHAP interpretation of the random forest model. by Junying Wei (1710550)

Local SHAP interpretations of the random forest model. by Junying Wei (1710550)

Significantly changed USSs in the sf3b1 mutants. by Bei Zhang (428038)

SHAP summary plot of feature importance ranking of GA-XGBoost model. by Wenguang Li (6528113)

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)

SHAP values across age groups. by Gabriel Ott (18349361)

Execution time benchmarks for the SPARTA classification runs executed in the context of this study, with selection based on Gini and SHAP. by Baptiste Ruiz (20285217)

Important features of SHAP interpretation. left column: The SHAP value distribution of the 20 most important features. right column: The importance bar chart of the top 20 features... by Hongqi Feng (14604437)