Predicts the class per row based on the learned model. The class probability is the product of the probability per attribute and the probability of the class attribute itself.
The probability for nominal values is the number of occurrences of the class value with the given value divided by the number of total occurrences of the class value. The probability of numerical values is calculated by assuming a normal distribution per attribute.
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The default prediction column name is: Prediction (trainingColumn) .","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 (trainingColumn=value) with an optional suffix that can be specified.)","optional":false}]}],"links":[],"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":0.5633802816901409},{"id":"*AwzC_JyEuicS9pXC","factoryName":"org.knime.base.node.meta.xvalidation.AggregateOutputNodeFactory","probability":0.09859154929577464},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.056338028169014086},{"id":"*89QZimuvm6HIECjE","factoryName":"org.knime.base.node.mine.bayes.naivebayes.predictor4.NaiveBayesPredictorNodeFactory3","probability":0.04225352112676056},{"id":"*e3rnMYIl5BZphzl1","factoryName":"org.knime.base.node.viz.roc.ROCNodeFactory","probability":0.04225352112676056},{"id":"*OKRvXgFKIQmsm76N","factoryName":"org.knime.js.base.node.viz.plotter.roc.ROCCurveNodeFactory","probability":0.04225352112676056},{"id":"*sJQ73svNoG0qOOOP","factoryName":"org.knime.base.node.viz.plotter.line.LinePlotterNodeFactory","probability":0.028169014084507043},{"id":"*Ww2fVZ2NZIMTPt8a","factoryName":"org.knime.ext.svg.node.radarplot.RadarplotAppenderFactory","probability":0.028169014084507043},{"id":"*GN2SBVbWzuK822qv","factoryName":"org.knime.js.base.node.viz.pagedTable.PagedTableViewNodeFactory","probability":0.028169014084507043},{"id":"*a36eXM94uKOrTIlo","factoryName":"org.knime.ensembles.boosting.BoostingLearnerLoopEndNodeFactory","probability":0.014084507042253521}]}