Backward Feature Elimination End (deprecated)

LoopEnd

This is the end node of a backward feature elimination loop. It compares the target column with the prediction column set in the node's dialog. For numerical columns the squared error is computed, for all other columns the error rate. The column that caused the smallest error when left out is then discarded for the next iteration.
The node's output table shows the error for the different levels of the elimination process, and the column that has been excluded in the level.

Input Ports

  1. Type: Data The result table of a predictor inside the loop

Output Ports

  1. Type: Data Elimination levels and corresponding error rates and left out columns
  2. Type: Feature Elimination The elimination levels as model that can be used in a backward elimination filter node

Find here

Analytics > Mining > Feature Selection

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Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

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