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Questions3 Homework2 Berkant Güneş

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Read the wine.csv dataset. Train a Logistic Regression Model to predict whether a wine is red or white. • Use the Normalizer(PMML) node to z normalize all numerical columns. • Partition the dataset into a training set (80%) and a test set (20%) using the Partitioning node with the stratified sampling option on the column “Income”. • Use the Logistic Regression Learner Node to train the model on the training set and the Logistic Regression Predictor Node to apply the model to the test set. • Use the Scorer node to evaluate the accuracy of the model.

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.2
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.2

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