Logistic Regression Predictor


Predicts the response using a logistic regression model. The node needs to be connected to a logistic regression node model and some test data. It is only executable if the test data contains the columns that are used by the learner model. This node appends a new columns to the input table containing the prediction for each row.

Input Ports

  1. Type: PMML The logistic regression model
  2. Type: Data Table for prediction. Missing values will give missing values in the output.

Output Ports

  1. Type: Data Table from input with an additional prediction column.

Find here

Analytics > Mining > Logistic Regression

Make sure to have this extension installed:


Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

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