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.
- 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).
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 and the probabilities depending on the
options |
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.