Matches in DBpedia 2015-10 for { <http://dbpedia.org/resource/Test_set> ?p ?o }
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- Test_set abstract "In many areas of information science, finding predictive relationships from data is a very important task. Initial discovery of relationships is usually done with a training set while a test set and validation set are used for evaluating whether the discovered relationships hold. More formally, a training set is a set of data used to discover potentially predictive relationships. A test set is a set of data used to assess the strength and utility of a predictive relationship. Test and training sets are used in intelligent systems, machine learning, genetic programming and statistics.".
- Test_set wikiPageExternalLink FOGP.
- Test_set wikiPageID "1514392".
- Test_set wikiPageLength "6531".
- Test_set wikiPageOutDegree "41".
- Test_set wikiPageRevisionID "682228745".
- Test_set wikiPageWikiLink Accuracy.
- Test_set wikiPageWikiLink Accuracy_and_precision.
- Test_set wikiPageWikiLink Array_data_structure.
- Test_set wikiPageWikiLink Artificial_intelligence.
- Test_set wikiPageWikiLink Artificial_neural_network.
- Test_set wikiPageWikiLink Category:Data_analysis.
- Test_set wikiPageWikiLink Category:Datasets_in_machine_learning.
- Test_set wikiPageWikiLink Category:Machine_learning.
- Test_set wikiPageWikiLink Cross-validation_(statistics).
- Test_set wikiPageWikiLink Data.
- Test_set wikiPageWikiLink Estimation_theory.
- Test_set wikiPageWikiLink Feature_selection.
- Test_set wikiPageWikiLink Function_(mathematics).
- Test_set wikiPageWikiLink Genetic_programming.
- Test_set wikiPageWikiLink Independence_(probability_theory).
- Test_set wikiPageWikiLink Information_science.
- Test_set wikiPageWikiLink Linear_regression.
- Test_set wikiPageWikiLink Logistic_regression.
- Test_set wikiPageWikiLink Machine_learning.
- Test_set wikiPageWikiLink Naive_Bayes_classifier.
- Test_set wikiPageWikiLink Neural_net.
- Test_set wikiPageWikiLink Overfit.
- Test_set wikiPageWikiLink Overfitting.
- Test_set wikiPageWikiLink Parameter.
- Test_set wikiPageWikiLink Probability_distribution.
- Test_set wikiPageWikiLink Regression_analysis.
- Test_set wikiPageWikiLink Sensitivity_and_specificity.
- Test_set wikiPageWikiLink Statistical_classification.
- Test_set wikiPageWikiLink Statistics.
- Test_set wikiPageWikiLink Supervised_learning.
- Test_set wikiPageWikiLink Test_set.
- Test_set wikiPageWikiLink Training_set.
- Test_set wikiPageWikiLink File:Traintest.svg.
- Test_set wikiPageWikiLinkText "Test set".
- Test_set wikiPageWikiLinkText "Test set#Rationale".
- Test_set wikiPageWikiLinkText "Test_set".
- Test_set wikiPageWikiLinkText "test set".
- Test_set wikiPageWikiLinkText "testing data set".
- Test_set hasPhotoCollection Test_set.
- Test_set wikiPageUsesTemplate Template:Multiple_issues.
- Test_set wikiPageUsesTemplate Template:Reflist.
- Test_set wikiPageUsesTemplate Template:Statistics.
- Test_set subject Category:Data_analysis.
- Test_set subject Category:Datasets_in_machine_learning.
- Test_set subject Category:Machine_learning.
- Test_set type Article.
- Test_set type Article.
- Test_set comment "In many areas of information science, finding predictive relationships from data is a very important task. Initial discovery of relationships is usually done with a training set while a test set and validation set are used for evaluating whether the discovered relationships hold. More formally, a training set is a set of data used to discover potentially predictive relationships. A test set is a set of data used to assess the strength and utility of a predictive relationship.".
- Test_set label "Test set".
- Test_set sameAs Test_set.
- Test_set sameAs m.05752_.
- Test_set sameAs Q3985153.
- Test_set sameAs Q3985153.
- Test_set wasDerivedFrom Test_set?oldid=682228745.
- Test_set isPrimaryTopicOf Test_set.
