{"title":"Logistic Regression Predictor","nodeType":"Predictor","id":"*30SAAtdD-kG2KhAI","factoryName":"org.knime.base.node.mine.regression.logistic.predictor.LogisticRegressionPredictorNodeFactory","factoryId":"org.knime.base.node.mine.regression.logistic.predictor.LogisticRegressionPredictorNodeFactory","path":["Analytics","Mining","Logistic Regression"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>Predicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and some test data. It is only executable if the test data contains the columns that are used by the learner model. This node appends a new columns to the input table containing the prediction for each row.\n <br />\n <br /></p>\n        ","shortDescription":"Predicts the response using a logistic regression model.","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Logistic Regression"],"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":"Regression Model","description":"The logistic regression model"},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Data for prediction","description":"Table for prediction. Missing values will give missing values in the output."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Predicted data","description":"Table from input with an additional prediction column."}],"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":"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, <tt>Prediction(target)</tt> (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: <tt>P(targetColumn&#61;value)</tt> .","optional":false},{"name":"Probability column suffix","description":"Suffix for the probability columns.","optional":false}]}],"links":[{"text":"KNIME E-Learning Course (see \"Logistic Regression\" 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":0.4881087202718007},{"id":"*e3rnMYIl5BZphzl1","factoryName":"org.knime.base.node.viz.roc.ROCNodeFactory","probability":0.1291053227633069},{"id":"*AwzC_JyEuicS9pXC","factoryName":"org.knime.base.node.meta.xvalidation.AggregateOutputNodeFactory","probability":0.09399773499433749},{"id":"*QUqps_kWbfHPBgyu","factoryName":"org.knime.base.node.mine.scorer.numeric.NumericScorerNodeFactory","probability":0.026047565118912798},{"id":"*gwwIZ5c5EYsJErci","factoryName":"org.knime.base.node.preproc.sorter.SorterNodeFactory","probability":0.01812004530011325},{"id":"*XSCKH1I1S2QiA5_-","factoryName":"org.knime.base.node.preproc.normalize.NormalizerDeNodeFactory","probability":0.01812004530011325},{"id":"*OKRvXgFKIQmsm76N","factoryName":"org.knime.js.base.node.viz.plotter.roc.ROCCurveNodeFactory","probability":0.015855039637599093},{"id":"*ZgYyOm1P9VJVBE9e","factoryName":"org.knime.base.node.preproc.joiner.Joiner2NodeFactory","probability":0.014722536806342015},{"id":"*4DFM_cH5wpBaPN9o","factoryName":"org.knime.base.node.viz.liftchart.LiftChartNodeFactory","probability":0.013590033975084938},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.01245753114382786}]}