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JKISeason2-19

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Read dataTarget tocategoryNormalize featureswith MinMaxexecute up-streambefore configurationInput:0 : Model as a Workflow Object1 : Data from Model Test PartitionOutput:0 : Global Feature ImportanceTraining/CalibrationCalibration tableScore on testdata setOversampleminorityDownsample majority1 / 0Training + calibration/testPredictions on testScoreconfromal predictionsSignificance levelOptimizesignificance levelAssign currentsignificance levelAssign currentsignificance levelCSV Reader String Manipulation Normalizer AutoML Global FeatureImportance Partitioning Workflow Executor Scorer CASE Switch Start CASE Switch End SMOTE Bootstrap Sampling Equal Size Sampling Row Splitter Concatenate Shuffle Select samplingstrategy Partitioning Workflow Executor ConformalClassification Conformal Scorer Table Creator Table Row ToVariable Loop Start Loop End ConstantValue Column Preliminary anlysis ConstantValue Column Select bestsignificance level Read dataTarget tocategoryNormalize featureswith MinMaxexecute up-streambefore configurationInput:0 : Model as a Workflow Object1 : Data from Model Test PartitionOutput:0 : Global Feature ImportanceTraining/CalibrationCalibration tableScore on testdata setOversampleminorityDownsample majority1 / 0Training + calibration/testPredictions on testScoreconfromal predictionsSignificance levelOptimizesignificance levelAssign currentsignificance levelAssign currentsignificance levelCSV Reader String Manipulation Normalizer AutoML Global FeatureImportance Partitioning Workflow Executor Scorer CASE Switch Start CASE Switch End SMOTE Bootstrap Sampling Equal Size Sampling Row Splitter Concatenate Shuffle Select samplingstrategy Partitioning Workflow Executor ConformalClassification Conformal Scorer Table Creator Table Row ToVariable Loop Start Loop End ConstantValue Column Preliminary anlysis ConstantValue Column Select bestsignificance level

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