SVM Predictor
This node uses a SVM model generated by the SVM learner
node to predict the output for given values. Only the columns
that have been used during training are used in
the SVM learner. The output table will contain one extra
column, which contains the prediction and optinally the class
probabilities.
Dialog Options
- 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 Class Columns
-
Append class probability columns.
- Suffix for probability columns
-
Suffix for the normalized distribution columns. Their names are like:
P (trainingColumn=value).
Ports
Input Ports
0 |
The model generated by the SVM Learner
|
1 |
Inport for the input table |
Output Ports
0 |
The input table, with (the class
probabilities and) the prediction column appended to it.
|
This node is contained in KNIME Base Nodes
provided by KNIME GmbH, Konstanz, Germany.