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    <!-- http://purl.obolibrary.org/obo/IAO_0000136 -->

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        <rdfs:label xml:lang="en">is about</rdfs:label>
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        <rdfs:label>specifies value of</rdfs:label>
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        <rdfs:label xml:lang="en">data item</rdfs:label>
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    <!-- http://purl.obolibrary.org/obo/STATO_0000594 -->

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        <rdfs:label xml:lang="en">confusion matrix</rdfs:label>
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        <ns3:IAO_0000117 xml:lang="en">Philippe Rocca-Serra</ns3:IAO_0000117>
        <ns3:IAO_0000115 xml:lang="en">a confusion matrix is a 2 by 2 contingency table used to evaluate the performance of a classifier, often a machine-learning classifier and  that allows visualization of the performance of an algorithm, typically a supervised learning one. It defines two dimensions (&quot;actual&quot; and &quot;predicted&quot;), and identical sets of &quot;classes&quot; in both dimensions (each combination of dimension and class is a variable in the contingency table).</ns3:IAO_0000115>
        <ns3:IAO_0000119 xml:lang="en">adapted from wikipedia:
https://en.wikipedia.org/wiki/Confusion_matrix
last accessed: 22.10.2019</ns3:IAO_0000119>
        <ns3:STATO_0000041 xml:lang="en">https://www.rdocumentation.org/packages/caret/versions/3.45/topics/confusionMatrix
from:
https://www.rdocumentation.org/packages/caret/versions/3.45/topics/confusionMatrix</ns3:STATO_0000041>
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