Infoworks 6.1.3
Prepare Data

Performing Logistic Regression

Logistic Regression is a classification. It predicts the probability of an outcome that can only have binary values. The prediction is based on the use of one or several predictors. Logistic regression produces a logistic curve, which is limited to values 0 and 1.

NOTE The Logistic Regression node is not supported for pipelines in snowflake environment.

Following are the steps to apply Logistic Regression node in pipeline:

  1. Double-click the Logistic Regression node. The properties page is displayed.
  2. Click Edit Properties to edit the property values and click Save.

3. Click Normalization. A list of normalizations are displayed.

  1. Click Add Normalization and enter the required details.
  2. Click Save.
  Last updated by Prerana Dutta