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

Output ports

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

External resources

• KNIME E-Learning Course: Logistic Regression