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

Proportion of individuals’ general benefits scores that increased, decreased, or remained unchanged between time points. by Jessie B. Moore (12578140)

Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

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)

Subjects:

SHAP analysis. by Hexin Li (8641479)

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

Subjects:

Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)

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

Subjects:

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

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

Subjects:

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

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)

Subjects:

The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

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)

Increases and decreases in resources. by Guangliang Li (194029)