Regression Predictor

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.

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.

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Workflows

• [ISPRENL S11] Group 5 MCO2 WorkflowKNIME Hub
• 0. Lubes_Sales_Pred-ModelNodePit Space
• 0. Lubes_Sales_Pred-ModelNodePit Space
• 00_売上集計レポート・アプリKNIME Hub
• 01_Accessing_Transforming_and_Modeling_Time_SeriesKNIME Hub
• Show all 1172 workflows

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