**Unlocking the Power of Ensemble Learning: RAG Systems for

Unlocking the Power of Ensemble Learning: RAG Systems for Enhanced Predictive Accuracy

Imagine being able to combine the strengths of multiple individual models to produce a more accurate and reliable decision-making system. This is precisely what Rating Aggregation and Generation (RAG) systems achieve through the magic of ensemble methods. By leveraging the collective power of multiple weak models, RAG systems can create a stronger decision-making framework that outperforms individual models.

The Ensemble Method: How RAG Systems Work

In a RAG system, multiple models are trained on the same dataset, but each model is designed to focus on a specific aspect of the problem. For instance, suppose we're building a model to predict credit risk for loan applicants. Our ensemble might consist of three individual models:

1. Model 1: Focuses on the applicant's credit score and history.
2. Model 2: Examines the applicant's income, employment history, and debt-to-income ratio.
3. Mo...

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