Backward Feature Elimination End

DeprecatedKNIME Base Nodes version 3.7.0.v201812031623 by KNIME AG, Zurich, Switzerland

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.

Options

Target column

The column that contains the real values

Prediction column

The column that contains the predicted values

Input Ports

The result table of a predictor inside the loop

Output Ports

Elimination levels and corresponding error rates and left out columns

The elimination levels as model that can be used in a backward elimination filter node

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• Backward Feature Elimination Start (1:1) (5 %) LoopStartDeprecated
• Scorer (5 %) Other
• Weka Predictor (3.7) (5 %) Predictor
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• Gradient Boosted Trees Predictor (4 %) PredictorStreamableDeprecated
• Tree Ensemble Predictor (4 %) PredictorStreamableDeprecated
• X-Aggregator (2 %) LoopEnd
• PNN Predictor (2 %) PredictorStreamable
• SVM Predictor (2 %) PredictorStreamable
• Random Forest Predictor (2 %) PredictorDeprecated
• Random Forest Predictor (Regression) (2 %) PredictorStreamable
• Backward Feature Elimination Start (2:2) (1 %) LoopStartDeprecated
• Gradient Boosted Trees Predictor (Regression) (1 %) PredictorStreamable
• Simple Regression Tree Predictor (1 %) PredictorStreamable
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• Missing Value (1 %) Manipulator
• Backward Feature Elimination Filter (< 1 %) ManipulatorDeprecated
• Naive Bayes Learner (< 1 %) LearnerDeprecated
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• Logistic Regression Learner (< 1 %) LearnerDeprecated
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• Tree Ensemble Predictor (< 1 %) PredictorStreamableDeprecated
• Random Forest Predictor (Regression) (< 1 %) PredictorDeprecated
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Best Friends (Outgoing)

• Backward Feature Elimination Filter (78 %) ManipulatorDeprecated
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• Backward Feature Elimination Start (2:2) (3 %) LoopStartDeprecated
• Variable Loop End (3 %) LoopEnd
• Scorer (3 %) Other
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Workflows

• 01_Feature_Elimination_with_Naive_Bayes
• 002004_Feature-Elimination_with_NaiveBayes
• Dim Reduction Techniques
• KDD analysis on All Data

Update Site

To use this node in KNIME, install KNIME Base Nodes from the following update site: