International Journal of Machine Learning and Predictive Analytics

The International Journal of Machine Learning and Predictive Analytics (IJMLPA) publishes cutting-edge research focused on machine learning models, predictive systems, statistical learning, neural networks, pattern recognition, and applied AI.

The journal welcomes advanced methodologies, conceptual frameworks, mathematical models, and real-world applications that demonstrate the capability of machine learning in forecasting, decision-making, automation, and optimization. IJMLPA aims to contribute to global research progress in intelligent predictive technologies.

Review Timeline: 4–8 weeks

Publication Time: 1–2 weeks

Acceptance Rate: ~30%