Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it is found that hybrid stacked models give ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

The “new era” for Chesapeake-based value retailer Dollar Tree has already begun. “The world has changed: Customers are more digitally connected, costs are higher, competition is shifting, and tariffs ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...