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        <ns3:IAO_0000115>A type of computational evidence in which computational systems build models based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Such systems are trained on a combination of existing data about an entity, and are applied to the generation of new labels, such as numerical or textual or categorical.</ns3:IAO_0000115>
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