Decision Tree Predictor

This node uses an existing decision tree (passed in through the model port) to predict the class value for new patterns. The Node can be configured as follows:

Options

Number of patterns for HiLite

Determines the maximum number of patterns the tree will store to support HiLiting.

Change prediction column name

When set, you can change the name of the prediction column.

Prediction Column

The possibly overridden column name for the predicted column. (The default is: Prediction (trainingColumn).)

Append columns with normalized class distribution

Shows the normalized class distribution for each prediction.

Suffix for probability columns

Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Views

Decision Tree View

The decision tree as given in the model port along with the classified data. The tree can be expanded and collapsed with the plus/minus signs.

Decision Tree View (simple)

The decision tree as given in the model port along with the classified data.

Workflows

• Credit Scoring Model(diksha kumari)KNIME Hub
• !Modern UI_ABC-XYX-RFM AutoML SuperstoreKNIME Hub
• (test) credit score modelKNIME Hub
• [Latest] Consolidated 3 Mar 1210KNIME Hub
• 0_install_AI_extensionsKNIME Hub
• Show all 2026 workflows

Links

• KNIME E-Learning Course: Decision Tree

  www.knime.com/knime-introductory-course/chapter6/section3/decision-tree
• Help!- Churn for Bank Customers Analyzingby gonhaddock on 2022-05-18

  forum.knime.com/p/157353

Developers