Hub
NodeNode / Learner

IsotonicRegression (3.7)

Analytics Integrations Weka Weka (3.7) Classification Algorithms
+1
Drag & drop
Like
Copy short link

Learns an isotonic regression model

Picks the attribute that results in the lowest squared error.Missing values are not allowed.

Can only deal with numeric attributes.Considers the monotonically increasing case as well as the monotonicallydecreasing case

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Node details

Input ports
  1. Type: Table
    Training data
    Training data
Output ports
  1. Type: Weka 3.7 Classifier
    Trained model
    Trained model

Extension

The IsotonicRegression (3.7) node is part of this extension: