Combining different models is often an effective approach to examining the same problem from an alternate perspective, which might prove to be the key to creating a better solutions. The idea is to combine different models to gain insights from each one and create a more comprehensive understanding of the issue. This approach can be beneficial for many different types of projects, such as predicting customer behaviour, developing marketing strategies, forecasting financial markets, and more.
By leveraging the strengths of each model, a blended approach can help organizations better understand the complexities of their problem and identify potential solutions that are not available through any single model. Additionally, blending models allows organizations to take advantage of different data sources or feature sets that might not be available with just one model. This can also help organizations reduce their risk by using multiple models to validate their findings and come up with robust solutions.