Regression Predictor (deprecated)
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 columns to the input table containing the prediction for each row.
*You can use nodes like the linear regression, polynomial regression and the logistic regression node to create regression models.
- Type: PMML The regression model
- Type: Data Table for prediction. Missing values will give missing values in the output.
- Type: Data Table from input with an additional prediction column.
Analytics > Mining > Linear/Polynomial Regression
Make sure to have this extension installed:
Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site