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- Averaged_one-dependence_estimators abstract "Averaged one-dependence estimators (AODE) is a probabilistic classification learning technique. It was developed to address the attribute-independence problem of the popular naive Bayes classifier. It frequently develops substantially more accurate classifiers than naive Bayes at the cost of a modest increase in the amount of computation.".
- Averaged_one-dependence_estimators wikiPageID "24455245".
- Averaged_one-dependence_estimators wikiPageLength "4106".
- Averaged_one-dependence_estimators wikiPageOutDegree "8".
- Averaged_one-dependence_estimators wikiPageRevisionID "665457940".
- Averaged_one-dependence_estimators wikiPageWikiLink Category:Bayesian_statistics.
- Averaged_one-dependence_estimators wikiPageWikiLink Category:Classification_algorithms.
- Averaged_one-dependence_estimators wikiPageWikiLink Category:Statistical_classification.
- Averaged_one-dependence_estimators wikiPageWikiLink Cluster-weighted_modeling.
- Averaged_one-dependence_estimators wikiPageWikiLink Naive_Bayes_classifier.
- Averaged_one-dependence_estimators wikiPageWikiLink Statistical_classification.
- Averaged_one-dependence_estimators wikiPageWikiLink Weka_(machine_learning).
- Averaged_one-dependence_estimators wikiPageWikiLinkText "Averaged one-dependence estimators".
- Averaged_one-dependence_estimators wikiPageUsesTemplate Template:Refimprove.
- Averaged_one-dependence_estimators wikiPageUsesTemplate Template:Reflist.
- Averaged_one-dependence_estimators subject Category:Bayesian_statistics.
- Averaged_one-dependence_estimators subject Category:Classification_algorithms.
- Averaged_one-dependence_estimators subject Category:Statistical_classification.
- Averaged_one-dependence_estimators hypernym Classification.
- Averaged_one-dependence_estimators type MeanOfTransportation.
- Averaged_one-dependence_estimators type Type.
- Averaged_one-dependence_estimators type Algorithm.
- Averaged_one-dependence_estimators type Redirect.
- Averaged_one-dependence_estimators type Type.
- Averaged_one-dependence_estimators comment "Averaged one-dependence estimators (AODE) is a probabilistic classification learning technique. It was developed to address the attribute-independence problem of the popular naive Bayes classifier. It frequently develops substantially more accurate classifiers than naive Bayes at the cost of a modest increase in the amount of computation.".
- Averaged_one-dependence_estimators label "Averaged one-dependence estimators".
- Averaged_one-dependence_estimators sameAs Q4828284.
- Averaged_one-dependence_estimators sameAs AODE.
- Averaged_one-dependence_estimators sameAs m.080bc8l.
- Averaged_one-dependence_estimators sameAs Q4828284.
- Averaged_one-dependence_estimators wasDerivedFrom Averaged_one-dependence_estimators?oldid=665457940.
- Averaged_one-dependence_estimators isPrimaryTopicOf Averaged_one-dependence_estimators.