PaceRegression
DeprecatedKNIME WEKA nodes version 2.7.3.v202104271009 by KNIME AG, Zurich, Switzerland
Class for building pace regression linear models and using them for prediction.
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.
Options
- Class column
- Choose the column that contains the target variable.
- Preliminary Attribute Check
The Preliminary Attribute Check tests the underlying classifier against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.
Important: If a column is marked as 'incompatible', it does not necessarily mean that the classifier cannot be executed! Sometimes, the error message 'Cannot handle String class' simply means that no nominal values are available (yet). This may change during execution of the predecessor nodes.
Input Ports
Output Ports
Views
- Weka Node View
- Each weka node provides a summary view that provides information e.g. about the accuracy of the classifier. Depending on the underlying weka-classifier, an evaluation view, a source view with java source-code) or a graph view are available.
Installation
To use this node in KNIME, install KNIME Weka Data Mining Integration from the following update site:
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
Developers
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.