This Node Is Deprecated — This node is kept for backwards-compatibility, but the usage in new workflows is no longer recommended. The documentation below might contain more information.
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
Popular Predecessors
Backward Feature Elimination Start (1:1)23 %Regression Predictor16 %Numeric Scorer6 %Gradient Boosted Trees Predictor5 %K Nearest Neighbor4 %Backward Feature Elimination Start (2:2)4 %Random Forest Predictor4 %Tree Ensemble Predictor4 %- Missing Value3 %
Backward Feature Elimination Filter3 %- X-Aggregator2 %
- Decision Tree Predictor2 %
Logistic Regression Learner2 %- Regression Predictor2 %
- SOTA Predictor1 %
Simple Regression Tree Predictor1 %- Fuzzy Rule Predictor1 %
- End IF1 %
- LIBSVMPredictor1 %
- Linear Regression Learner< 1 %
- Tree Ensemble Predictor (Regression)< 1 %
Random Forest Predictor< 1 %- Missing Value Column Filter< 1 %
Column Rename< 1 %Naive Bayes Predictor< 1 %Scorer< 1 %K Nearest Neighbor (Distance Function)< 1 %- Naive Bayes Predictor< 1 %
- Polynomial Regression Learner< 1 %
Table Reader< 1 %Naive Bayes Learner< 1 %- Logistic Regression Predictor< 1 %
Tree Ensemble Predictor< 1 %Random Forest Predictor (Regression)< 1 %- Tree Ensemble Predictor< 1 %
- PNN Predictor< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Logistic Regression Learner< 1 %
- SVM Predictor< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
Random Forest Learner< 1 %- Random Forest Predictor (Regression)< 1 %
- Simple Regression Tree Predictor< 1 %
String To Number< 1 %Column Appender< 1 %Row Filter (deprecated)< 1 %- Rule Engine< 1 %
- NG Predictor (beta)< 1 %
- Weka Predictor (3.6) (legacy)< 1 %
- Weka Predictor (3.7)< 1 %
CSV Reader< 1 %PCA Apply< 1 %Gradient Boosted Trees Predictor< 1 %- Random Forest Predictor< 1 %
- Numeric Binner< 1 %
- Column Resorter< 1 %
Linear Correlation< 1 %Joiner< 1 %- Row Sampling< 1 %
- DL4J Feedforward Predictor (Regression) (legacy)< 1 %
- Math Formula< 1 %
Views
- This node has no views
Workflows
- No workflows found
Links
- No links available
Developers
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.