{"title":"Voting Loop End","nodeType":"LoopEnd","id":"*sRb-IfXX56qzfQr3","factoryName":"org.knime.ensembles.voting.VotingLoopEndNodeFactory","factoryId":"org.knime.ensembles.voting.VotingLoopEndNodeFactory","path":["Analytics","Mining","Ensemble Learning"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node defines the loop end in a sequence of models that are applied to a test dataset. In each iteration the selected prediction columns are stored, and the most frequent value is determined from this collection of prediction columns. A new column containing the majority class of all predictions is appended to the output table. The selected prediction columns are appended (depending on the &#39;Remove individual predictions&#39; option) to the resulting table; all other columns are not part of the output table.</p>\n        ","shortDescription":"Determines the most frequent value from a collection of prediction columns.","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Ensemble Learning"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table with prediction columns","description":"Table winner columns are selected from."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table with all/aggregated predictions","description":"Table with all prediction columns plus the most frequent value."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Options","fields":[{"name":"Winner column","description":"Column that is used to determine the most frequent value.","optional":false},{"name":"Remove individual predictions","description":"Removes all prediction columns generated during the loop iterations; only the final, most frequent prediction is appended to the input table.","optional":false}]}],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202605041104","bundleName":"KNIME Ensemble Learning","bundleSymbolicName":"org.knime.ensembles","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.ensembles","featureName":"KNIME Ensemble Learning Wrappers","featureVersion":"5.12.0.v202605041104","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*_1Bvd90_2VpXdZt5"},"frequentSuccessors":[{"id":"*SMkaasH0Wn3tKqfo","factoryName":"org.knime.base.node.mine.scorer.accuracy.AccuracyScorerNodeFactory","probability":0.21428571428571427},{"id":"*ZgYyOm1P9VJVBE9e","factoryName":"org.knime.base.node.preproc.joiner.Joiner2NodeFactory","probability":0.14285714285714285},{"id":"*6jI6GPZYQlWirx9J","factoryName":"org.knime.base.node.viz.table.TableNodeFactory","probability":0.07142857142857142},{"id":"*cCxw7K3QMxtaFC5l","factoryName":"org.knime.ensembles.predictionfusion.PredictionFusionNodeFactory","probability":0.07142857142857142},{"id":"*CLf1dnRUyl2myKc_","factoryName":"org.knime.base.node.flowvariable.appendvariabletotable2.AppendVariableToTable2NodeFactory","probability":0.07142857142857142},{"id":"*OKIm2p_-wmvT8FNf","factoryName":"org.knime.base.node.util.extracttabledimension.ExtractTableDimensionNodeFactory","probability":0.07142857142857142},{"id":"*PHWv6FsABEjrSc76","factoryName":"org.knime.base.node.preproc.rename.RenameNodeFactory","probability":0.07142857142857142},{"id":"*Q-yW-3C9DumtInuz","factoryName":"org.knime.base.node.rules.engine.RuleEngineFilterNodeFactory","probability":0.07142857142857142},{"id":"*e3rnMYIl5BZphzl1","factoryName":"org.knime.base.node.viz.roc.ROCNodeFactory","probability":0.07142857142857142},{"id":"*_zMUh-EpYjdvFKW9","factoryName":"org.knime.base.node.preproc.columnappend.ColumnAppenderNodeFactory","probability":0.07142857142857142}]}