Nature

Comparison of oblique random survival forest, random survival forest, and statistical models for time-to-event data using simulation study

Time-to-event (TTE) machine learning (ML) algorithms are increasingly utilized in prognostic models, but systematic evaluation is lacking to identify their strengths and limitations. We compared TTE ...
Nature

Enhancing anomaly detection in IoT-driven factories using Logistic Boosting, Random Forest, and SVM: A comparative machine learning approach

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...