This is the start node of a backward feature elimination loop. The first iteration of the loop is executed
with all input columns. In the next
n - 1
iterations each of the input columns - except the target column, that must be selected in the dialog - is
left out once. Then the end node will discard the column that influenced the prediction result the least.
n - 2
iterations follow where each of the remaining columns is left out once, and so on. The total number of
iterations is therefore
n * (n + 1) / 2 - 1.
The backward feature elimination loop can handle arbitrary target column, for numerical columns the squared error is taken as quality measure, for all other columns the error rate (i.e. the fraction of rows for which target and prediction column have different values).
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.
A zipped version of the software site can be downloaded here.
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.