Labelling is the process of giving data items some form of label, often a classification. In supervised machine learning, human labelling is often necessary for training, but sometimes there may be an automatic labelling, for example, if there are multiple kinds of sensors, or post-hoc knowledge about outcomes. The execution phase of machine learning often involves allocating labels to unlabelled data.
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