A cross-sectional study of 457 formal-sector, bank-connected Malaysian SMEs found that machine-learning models could classify ...

Fighting churn isn't about predicting it alone. It also involves understanding the hidden factors that lead to churn and how to drive customer loyalty. Although traditional churn prediction models may ...

Building and scaling AI with trust and transparency is crucial for any organization. For explainable AI (XAI) to be effective, it must enable transparency, explain the predictions and algorithm and ...

Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

Scalability and interpretability are two of the foundational principles of the digital enterprise today. From real-time customization to intelligent automation, modern data systems are assumed to ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights—including a model-estimated probability score for ...