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results
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rdfs:comment Experiment is a collection of runs.dcterms:description Experiment is a collection of runs.
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dcterms:description EvaluationSpecification is a specification of an, assess the performance of the process that realizes the task.
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rdfs:comment (e.g., the number of instances or the number of, features of a data set). They may be also, informationtheoretic measures (e.g., class entropy of adcterms:description (e.g., the number of instances or the number of, features of a data set). They may be also, informationtheoretic measures (e.g., class entropy of a
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rdfs:comment A relation between an implementation of a machinedcterms:description A relation between an implementation of a machine
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rdfs:comment ModelEvaluation is a setting of a value of thedcterms:description ModelEvaluation is a setting of a value of the
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rdfs:comment Data is a data item composed of data examples and, it may be of a various level of granularity and, only a feature (e.g., a column of a table), ordcterms:description Data is a data item composed of data examples and, it may be of a various level of granularity and, only a feature (e.g., a column of a table), or
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rdfs:comment Study is a collection of runs that belong, together to do some kind of analysis on its results. Thisdcterms:description Study is a collection of runs that belong, together to do some kind of analysis on its results. This
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rdfs:comment Model is a generalization of a set of training, is an output from an execution of a data mining, the result of applying the function to a datadcterms:description Model is a generalization of a set of training, is an output from an execution of a data mining, the result of applying the function to a data
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rdfs:comment performance of the model generated by the process thatdcterms:description performance of the model generated by the process that
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rdfs:comment Implementation is an executable implementation ofdcterms:description Implementation is an executable implementation of
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