• 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.
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