<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Decrease of the mean number of natural teeth and POPs with age. by Sul-Hee Kim (11873853)

Global SHAP summary plot. by Yahui Wang (1305345)

Subjects:

ADNI neuropsychological test clinical data summary showing average values with standard deviation. Statistical significance (95% significance level) was tested using analysis of Kr... by Sherlyn Jemimah (10328552)

SHAP value feature importance graph. by Wangyouchen Zhang (21681025)

Subjects:

Adjusted means and 95% confidence interval of blood pressure change from baseline to the follow-up in different general or abdominal obesity status change groups. by Yi-de Yang (6755798)

SHAP analysis of the GBM model. by Lang Gao (12963876)

“…<p>(A) The SHAP summary plot of the GBM model. (B) Significance analysis of feature importance ranking via SHAP, based on the mean value. …”

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

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)

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

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

Subjects:

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

Subjects:

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

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

Subjects:

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. …”