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Question3

Question3

Question3

Kubilay Sarıbardak
Homework1 Question3
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.

Scorer Partitioning LogisticRegression Learner Normalizer (PMML) Logistic RegressionPredictor File Reader Scorer Partitioning LogisticRegression Learner Normalizer (PMML) Logistic RegressionPredictor File Reader

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Created by: byasar
Created at: 2020-04-11
On NodePit since: 2020-04-15
Last update: 2026-01-13
Created with KNIME version: v4.1.2

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