SHAP summary plot. by Meng Cao (105914)

“…</p><p>Results</p><p>Logistic regression analysis identified age, hemoglobin concentration, education level, and social participation as significant factors influencing CI. Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …”

SHAP Feature Importance: Mean Absolute SHAP Values in the XGBoost Final Model for Predicting MASLD. by Yong Zhang (5893)

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SHAP analysis. by Hexin Li (8641479)

The ten most significant features of the Random Forest model based on classification accuracy. by Nguyen Tat Thanh (10296398)

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SHAP analysis in XGBoost, Mexico 2022. by Oliver Mendoza-Cano (9148646)

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SHAP summary plot of features in the model. by Yanxuan Wu (9623598)

Model explanation through SHAP. by Tingting Tong (11993299)

“…The results demonstrate that the ensemble learning-based predictive framework significantly outperforms traditional machine learning methods. …”

SHAP summary plot for different responsibility categories. by Yahui Wang (1305345)

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ADNI clinical data summary showing average values with standard deviation. Statistical significance (95% significance level) was tested using analysis of variance (ANOVA) for the a... by Sherlyn Jemimah (10328552)

SHAP distribution plot for demographics. by Dakota McCarty (17827264)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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The SHAP dependence plot for features in the GBM model. by Lang Gao (12963876)

The top 109 most significant features among the 28,456 mRNAs. by Sepideh Zununi Vahed (9861298)

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Bar chart and summary chart of contributions based on absolute values of SHAP. by Kai Wang (21246)

“…<p>A) Bar chart of important attributes based on absolute values of SHAP (95% CIs, 1000 bootstraps), B) Summary chart of important attributes based on absolute values of SHAP. …”

SHAP values for predicting child removals. by Michael Rosholm (4020347)

GA-XGBoost model SHAP feature density scatter plot. by Wenguang Li (6528113)

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)

Distribution of digital financial inclusion impact on carbon intensity gap in agriculture by province. by Lingzhi Tan (19146572)

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. …”