Performing Logistic Regression

Overview

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 on Jan 28, 2022
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Performing Decision Tree Operation

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Performing Logistic Regression