Classification Predictor (sklearn)

The Classification Predictor Node accepts a trained model from any of the classification learner nodes and computes the predicted class for each row of the given input table. Optionally, class probability estimates for each row can also be predicted.

It is only executable if the test data contains the columns that are used by the learner model.



Custom prediction column name

If no name is specified for the prediction column, it will default to <target_column_name>_pred.

Predict probability estimates

Predict probability estimates for each target class.

Suffix for probability columns

Allows to add a suffix for the class probability columns.

Input Ports


Trained classification predictor model.


All feature columns used for training must also be present in the table for prediction.

Output Ports


The input table concatenated with a predictions column and optionally class probabilities.

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