Shankar-girish/LBEM-Learning-based-ensemble-model-: LBEM-Learning-based-ensemble-model

LBEM (Learning-Based Ensemble Model) is a machine learning framework that combines multiple predictive models to improve overall performance and robustness. The approach leverages ensemble learning techniques to integrate the strengths of different algorithms, reducing individual model bias and variance. By learning optimal model combinations, LBEM enhances prediction accuracy and generalization across diverse datasets. The framework can be applied to various domains such as classification, anomaly detection, and predictive analytics. Overall, LBEM provides a scalable and efficient strategy for building reliable data-driven decision systems.