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I have a problem, where I need to weight models for ensemble learning, however, some models aren't always able to give a prediction. The problem to classify 1 unit to win out of several ( 5 - 10 other units) by giving a probability.

Some models perform better than others consistently so I don't want to use equal weights

How would I go about weighing these models?

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