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AUC_​Loop

Loop overvariablesSplit intotrain and testdataonly keep theevaluated variableonly keep theprobability ofthe positive classrename tovariable nameCalculate AUCsRejoin theclass columnNode 2. Normalizepredictors1. Import Controlvs MACEColumn ListLoop Start LogisticRegression Learner Partitioning Logistic RegressionPredictor ReferenceColumn Filter Column Filter Column Rename(Regex) Loop End (ColumnAppend) ROC Curve MISSINGJoiner (Labs) Normalizer Excel Reader (XLS) Loop overvariablesSplit intotrain and testdataonly keep theevaluated variableonly keep theprobability ofthe positive classrename tovariable nameCalculate AUCsRejoin theclass columnNode 2. Normalizepredictors1. Import Controlvs MACEColumn ListLoop Start LogisticRegression Learner Partitioning Logistic RegressionPredictor ReferenceColumn Filter Column Filter Column Rename(Regex) Loop End (ColumnAppend) ROC Curve MISSINGJoiner (Labs) Normalizer Excel Reader (XLS)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Adrian Nembach
Created at: 2020-07-16
On NodePit since: 2022-02-06
Last update: 2024-11-24
Created with KNIME version: v4.1.3

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