Today I saw some nice nodes and metanodes at Knime Labs->1 Wide Data.
I'm interested in nodes for linear regression and would like to know where I can find more information about the Backward Elimination metanode, Feature Selection Loop and Feature Selection Filter.
I really appreciate any help here.
I am sorry, but there is currently on the node description as information.
Is there anything specific you want to know about the nodes?
I'm not sure about my doubts yet because I'm still trying to understand better ways to run linear models (multiple regression) in Knime.
For know, I just came with 3 possibilities to run Multiple Regression:
1-Using the backward feature elimination loop nodes
2-Using the Metanode at 1 Wide Data with the Backward Feature Elimination
3-Running a Weka node for Linear Regression that selects the best model using Akaike criterion
Is it possible to explain a bit of those approaches?