The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.

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.

Dialog Options

Append columns with predicted probabilities
The number of appended columns is equal to the number of categories of the target column. They represent the probability that a row in the input data falls in a specific category.

Ports

Input Ports
0 General regression model
1 Table for prediction. Missing values will give missing values in the output.
Output Ports
0 Table from input with an additional prediction column.
This node is contained in KNIME Base Nodes provided by KNIME GmbH, Konstanz, Germany.