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.
Following are the steps to apply Logistic Regression node in pipeline:
- Double-click the Logistic Regression node. The properties page is displayed.
- Click Edit Properties to edit the property values and click Save.
3. Click Normalization. A list of normalizations are displayed.
- Click Add Normalization and enter the required details.
- Click Save.
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