Generalised learning is easier for machines to implement.
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Generalization refers to your model's ability to adapt properly to new, previously unseen data,
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Generalization is a term used to describe a model's ability to react to new data. That is, after being trained on a training set, a model can digest new data and make accurate predictions. A model's ability to generalize is central to the success of a model.
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