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.


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.

Input Ports

The logistic regression model
Table for prediction. Missing values will give missing values in the output.

Output Ports

Table from input with an additional prediction column.


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