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    <!-- http://www.ontodm.com/OntoDM-core/OntoDM_000098 -->

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        <rdfs:label>data mining task</rdfs:label>
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    <!-- http://www.ontodm.com/OntoDM-core/OntoDM_000235 -->

    <Class rdf:about="http://www.ontodm.com/OntoDM-core/OntoDM_000235">
        <rdfs:label>predictive modeling task</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://www.ontodm.com/OntoDM-core/OntoDM_000098"/>
        <rdfs:comment>Learning a (Probabilistic) Predictive Model. In this task, we are given
a dataset that consists of examples of the form (d, c), where each d is of type
Td and each c is of type Tc. We will refer to d as the description and c as the
class or target. To learn a predictive model means to find a mapping from the
description to the target, m :: Td → Tc, that fits the data closely. This means
that the observed target values and the target values predicted by the model,
i.e., c and ˆc = m(d), have to match closely.</rdfs:comment>
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