I have raster images from three models and I want to create their ensemble output. The correlation among rasters is near 70%. Is it a scientifically true approach? Can we combine 3 model outputs like that?
If yes, what statistical method should apply
To get insights about ensemble learning you may refer to these papers:
Article A fuzzy distance-based ensemble of deep models for cervical ...
Chapter Review of Classifier Combination Methods
Zaibun Nisa In Python, follow these steps:
1. Begin with a subset of the training dataset.
2. On the dataset, train a basic model.
3. Make predictions on the entire dataset using the third model.
4. Determine the errors using the expected and actual values.
5. Assign the same weight to all data items.
6. Give more weight to data pieces that were mistakenly forecasted.
Ensemble Techniques
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