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Wolfgang Bangerth
Wolfgang Bangerth
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You can. This is called an ensambleensemble model. For example, a linear regression between the solutions of different predictive models is a way to take a weighted average of different models. Normally, the winners of all of the machine learning contests use ensemble models since they eek out a bit more accuracy. However, they are a lot more costly to train.

You can. This is called an ensamble model. For example, a linear regression between the solutions of different predictive models is a way to take a weighted average of different models. Normally, the winners of all of the machine learning contests use ensemble models since they eek out a bit more accuracy. However, they are a lot more costly to train.

You can. This is called an ensemble model. For example, a linear regression between the solutions of different predictive models is a way to take a weighted average of different models. Normally, the winners of all of the machine learning contests use ensemble models since they eek out a bit more accuracy. However, they are a lot more costly to train.

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Chris Rackauckas
Chris Rackauckas
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You can. This is called an ensamble model. For example, a linear regression between the solutions of different predictive models is a way to take a weighted average of different models. Normally, the winners of all of the machine learning contests use ensemble models since they eek out a bit more accuracy. However, they are a lot more costly to train.