Feature importance based on SHAP values, depicted as a bar plot. by Probir Kumar Ghosh (6947282)

The inter-regional Gini coefficient in CCD of HER and DIC. by Ying Xie (50016)

Differences in inter-regional synergy of HER and DIC in China. by Ying Xie (50016)

SHAP bar 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 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)

Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

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Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

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)

Inter-operator reliability^b'*'. by Lotte van Dam (17347733)

“…The coefficient of variance significantly decreased with increasing knee flexion (2.27% at 0°, 1.65% at 45° and 1.20% at 90°, p<0.001). …”

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)