DeprecatedDecisions Tree Ensembles for KNIME version 4.4.0.v202105101955 by KNIME AG, Zurich, Switzerland
Learns a single regression tree. The procedures follows the algorithm described by "Classification and Regression Trees" (Breiman et al, 1984), whereby the current implementation applies a couple of simplifications, e.g. no pruning, missing values ignored, not necessarily binary trees, etc.
Select the attributes to use learn the model. Two variants are possible.
Fingerprint attribute uses the different bit/count positions in the selected bit/byte vector as learning attributes (for instance a bit/byte vector of length 1024 is expanded to 1024 binary/count attributes). All bit/byte vectors in the selected column must have the same length.
Column attributes are nominal and numeric columns used as descriptors. Numeric columns are split in a <= fashion; nominal columns are currently split by creating child nodes for each of the values.
To use this node in KNIME, install KNIME Ensemble Learning Wrappers 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.
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.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.