This node uses an existing decision tree (passed in through the model port) to predict the class value for new patterns. The Node can be configured as follows:
\n ","shortDescription":"Uses an existing decision tree to compute class labels for input vectors.","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Decision Tree"],"icon":"data:image/png;base64,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","views":[{"name":"Decision Tree View","description":"The decision tree as given in the model port along with the classified data. The tree can be expanded and collapsed with the plus/minus signs."},{"name":"Decision Tree View (simple)","description":"The decision tree as given in the model port along with the classified data."}],"inPorts":[{"objectClass":"org.knime.core.node.port.pmml.PMMLPortObject","color":"1469af","dataType":"PMML","optional":false,"name":"Decision Tree Model","description":"A previously learned decision tree model."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Data to classify","description":"Input data to classify."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Classified Data","description":"The input table with one column added containing the classification and the probabilities depending on the options."}],"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":"Number of patterns for hiliting","description":"Determines the maximum number of patterns the tree will store to support hiliting.","optional":false},{"name":"Custom prediction column name","description":"Allows you to specify a customized name for the prediction column that is appended to the input table. If not checked, Prediction(target) (where target is the name of the target column of the provided regression model) is used as default.","optional":false},{"name":"Append columns with normalized class distribution","description":"If selected, a column is appended for each class instance with the normalized probability of this row being a member of this class. The probability columns will have names like: P(targetColumn=value) .","optional":false},{"name":"Probability column suffix","description":"Suffix for the probability columns.","optional":false}]}],"links":[{"text":"KNIME E-Learning Course (see \"Decision Tree\" section)","url":"https://www.knime.com/learning"}],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202606261225","bundleName":"KNIME Base Nodes","bundleSymbolicName":"org.knime.base","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.base","featureName":"KNIME Base nodes","featureVersion":"5.12.0.v202606261225","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*bjR3r1yWOznPIEXS"},"frequentSuccessors":[{"id":"*SMkaasH0Wn3tKqfo","factoryName":"org.knime.base.node.mine.scorer.accuracy.AccuracyScorerNodeFactory","probability":0.5303159692570453},{"id":"*ZgYyOm1P9VJVBE9e","factoryName":"org.knime.base.node.preproc.joiner.Joiner2NodeFactory","probability":0.07327070879590095},{"id":"*e3rnMYIl5BZphzl1","factoryName":"org.knime.base.node.viz.roc.ROCNodeFactory","probability":0.06883005977796755},{"id":"*AwzC_JyEuicS9pXC","factoryName":"org.knime.base.node.meta.xvalidation.AggregateOutputNodeFactory","probability":0.057899231426131514},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.019128949615713067},{"id":"*xg4kORa5IVFVfpPN","factoryName":"org.knime.base.node.viz.plotter.scatter.ScatterPlotterNodeFactory","probability":0.017079419299743808},{"id":"*JiJhJpgkWWuOfG2s","factoryName":"org.knime.ext.poi2.node.write2.XLSWriter2NodeFactory","probability":0.015371477369769428},{"id":"*OKRvXgFKIQmsm76N","factoryName":"org.knime.js.base.node.viz.plotter.roc.ROCCurveNodeFactory","probability":0.01349274124679761},{"id":"*6jI6GPZYQlWirx9J","factoryName":"org.knime.base.node.viz.table.TableNodeFactory","probability":0.013321947053800172},{"id":"*Oy714gpoifm4PiOZ","factoryName":"org.knime.base.node.io.csvwriter.CSVWriterNodeFactory","probability":0.010930828351836038}]}