MultiLayerPerceptron Predictor

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.

Options

Custom prediction column name

Allows you to specify a customized name for the prediction column that is appended to the input table. If not checked, Prediction(target) (where target is the name of the target column of the provided regression model) is used as default.

Append columns with normalized class distribution

If selected, a column is appended for each class instance with the normalized probability of this row being a member of this class. The probability columns will have names like: P(targetColumn=value).

Probability column suffix

Suffix for the probability columns.

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