Based on a trained MultiLayerPerceptron-model given at the model inport of this node, the expected output values are computed. If the output variable is nominal, the output of each neuron and the class of the winner neuron are produced. Otherwise, the regression value is computed. Filter out missing values before using this node.
Prediction (
trainingColumn
)
.)n
classes, then the MLP treats it as n
binary classification problems.P (
trainingColumn
=
value
)
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