supervised-learning
An important measurement for supervised learning algorithms, is the generalization, which measures how well that a model derived from the training data can predict the desired attribute of the unseen data.
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An important measurement for supervised learning algorithms, is the generalization, which measures how well that a model derived from the training data can predict the desired attribute of the unseen data.