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.
If no name is specified for the prediction column, it will default to
Predict probability estimates for each target class.
Allows to add a suffix for the class probability columns.
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