Predicts the response using a regression model. The node needs to be connected to a 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 column to the input table containing the prediction for each row.
*You can use the Linear Regression Learner node or the Polynomial Regression Learner node to create regression models.
- Type: PMMLRegression modelThe regression model
- Type: TableData for predictionTable for prediction. Missing values will give missing values in the output.