R-Multiple Linear Regression

Properties that can be configured for the R-Multiple Linear Regression algorithm.

Syntax Use this algorithm to find the linear relationship between a dependent variable and one or more independent variables.
Note The data type of columns used during model scoring should be same as the data type of columns used while building the model.
R-Multiple Linear Regression Properties
Table 1: Algorithm Properties
Property Description
Output Mode Select the mode in which you want to use the output of this algorithm.
Possible values:
  • Fill: Fills missing values in the target column.
  • Trend: Predicts the values for the dependent column and adds an extra column in the output containing the predicted values.
Independent Columns Select the input columns with which you want to perform the regression analysis.
Dependent Column Select the target column for which you want to perform the regression analysis.
Missing Values Select the method for handling missing values.
Possible methods:
  • Ignore: Algorithm skips the records containing missing values in the independent or dependent columns.
  • Keep: Retains missing values.
  • Stop: Algorithm stops the execution if a value is missing in the independent column or the dependent column.
Confidence Level Enter the confidence level of the algorithm. The default value is 0.95.
Predicted Column Name Enter a name for the newly-created column that contains the predicted values.