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2. Logistic Regression on wine dataset

Logistic Regression on wine dataset
Wine Color Prediction: Training This workflow preprocesses data and trains a logistic regression to predictwine color. Performance is assessed with a Scorer node and the ROCcurve Read wine tablenormalizetraining setStratified samplingon colorApply normalizationto test setPredict wine colorApply model totest dataAssess PerformanceDisplay ROC curveMore advancedperformance inspectionexclude somepredictorslogisitic_regression_v1.0normalization_v1.0 Table Reader Normalizer Partitioning Normalizer (Apply) LogisticRegression Learner Logistic RegressionPredictor Scorer (JavaScript) ROC Curve Binary ClassificationInspector Column Filter Model Writer Model Writer Wine Color Prediction: Training This workflow preprocesses data and trains a logistic regression to predictwine color. Performance is assessed with a Scorer node and the ROCcurve Read wine tablenormalizetraining setStratified samplingon colorApply normalizationto test setPredict wine colorApply model totest dataAssess PerformanceDisplay ROC curveMore advancedperformance inspectionexclude somepredictorslogisitic_regression_v1.0normalization_v1.0 Table Reader Normalizer Partitioning Normalizer (Apply) LogisticRegression Learner Logistic RegressionPredictor Scorer (JavaScript) ROC Curve Binary ClassificationInspector Column Filter Model Writer Model Writer

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Created by: emilio.silvestri
Created at: 2021-11-29
On NodePit since: 2021-12-06
Last update: 2024-09-20
Created with KNIME version: v4.5.0
Tags: logistic regressionclassificationtraining

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