{"title":"Ruleset Predictor","nodeType":"Predictor","id":"*OF3oP5KCNWP8Fkn2","factoryName":"org.knime.base.node.rules.engine.pmml.PMMLRuleSetPredictorNodeFactory","factoryId":"org.knime.base.node.rules.engine.pmml.PMMLRuleSetPredictorNodeFactory","path":["Manipulation","PMML"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node takes a data table and a PMML model for <a href=\"http://www.dmg.org/v4-1/RuleSet.html\" rel=\"ugc nofollow noopener noreferrer\">RuleSet</a> s, e.g. created by the <i>PMML Ruleset Editor</i> node, and predicts a new column according to the rules.</p>\n        ","shortDescription":"Applies the rules to the input table.","keywords":[],"deprecated":false,"streamable":true,"tags":["Manipulation","PMML","Streamable"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.port.pmml.PMMLPortObject","color":"1469af","dataType":"PMML","optional":false,"name":"RuleSet model","description":"PMML rules to apply."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table","description":"An input table with compatible columns to the PMML rules."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Classified values","description":"The table with the column with predicted values."}],"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":"Output columns","description":"Choose whether to append a new prediction column using the specified Prediction column name, or replace the selected column with the predicted value.\n<ul><li><b>Append</b> : Choose whether to append a new prediction column using the specified Prediction column name, or replace the selected column with the predicted value.</li><li><b>Replace</b> : Replaces the selected columns by the new columns.</li></ul>","optional":false},{"name":"Prediction column","description":"Name of the new column appended to the table containing the predicted value.","optional":false},{"name":"Column to replace","description":"Name of an existing column to be replaced by the predicted value. Only columns of compatible data types (double, string, or boolean) are available for selection.","optional":false},{"name":"Compute confidence","description":"If checked, the confidence of the predicted result is computed and stored in a separate column specified by &#34;Confidence column&#34;.","optional":false},{"name":"Confidence column","description":"Name of the column to store the confidence values of the prediction. Only active when &#34;Compute confidence&#34; is enabled.","optional":false}]}],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202606171353","bundleName":"KNIME Java Snippet Nodes","bundleSymbolicName":"org.knime.jsnippets","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.javasnippet","featureName":"KNIME Javasnippet","featureVersion":"5.12.0.v202606171353","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*hXfYFyb7ZzM0xseG"},"frequentSuccessors":[{"id":"*SMkaasH0Wn3tKqfo","factoryName":"org.knime.base.node.mine.scorer.accuracy.AccuracyScorerNodeFactory","probability":0.28},{"id":"*sJQ73svNoG0qOOOP","factoryName":"org.knime.base.node.viz.plotter.line.LinePlotterNodeFactory","probability":0.12},{"id":"*AwzC_JyEuicS9pXC","factoryName":"org.knime.base.node.meta.xvalidation.AggregateOutputNodeFactory","probability":0.04},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.04},{"id":"*ebLbPp7VLbV4apta","factoryName":"org.knime.base.node.preproc.pivot.Pivot2NodeFactory","probability":0.04},{"id":"*jd2U-FYTI8jCbQls","factoryName":"org.knime.base.node.preproc.filter.row.RowFilterNodeFactory","probability":0.04},{"id":"*lISJ_edcE_TG6MVp","factoryName":"org.knime.base.node.mine.bayes.naivebayes.predictor3.NaiveBayesPredictorNodeFactory2","probability":0.04},{"id":"*LWyum507SBwIYcO8","factoryName":"org.knime.ext.itemset.nodes.learner.AssociationRuleLearnerNodeFactory","probability":0.04},{"id":"*OF3oP5KCNWP8Fkn2","factoryName":"org.knime.base.node.rules.engine.pmml.PMMLRuleSetPredictorNodeFactory","probability":0.04},{"id":"*OKRvXgFKIQmsm76N","factoryName":"org.knime.js.base.node.viz.plotter.roc.ROCCurveNodeFactory","probability":0.04}]}