The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at
http://knime.com.
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:
Dialog Options
- Number of patterns for HiLite
-
Determines the maximum number of patterns the tree will store to
support HiLiting.
- Append columns with normalized class distribution
-
Shows the normalized class distribution for each prediction.
Ports
Input Ports
0 |
A previously learned decision tree model |
1 |
Input data to classify |
Output Ports
0 |
The input table with one column added containing the classification |
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.
This node is contained in KNIME Base Nodes
provided by KNIME GmbH, Konstanz, Germany.