This is the end of a feature selection loop which selects features according to a feature selection strategy. It allows you to select a flow variable that contains a prediction score (usually from a preceding Scorer node). You then need to specify whether the score variable should be minimized or maximized.
Options
Popular Successors
- Feature Selection Filter38 %
- Math Formula4 %
- Linear Regression Learner3 %
- Loop End3 %
Excel Writer (XLS)2 %- Table Row to Variable2 %
- Table View (JavaScript)2 %
CSV Writer1 %Joiner1 %- Table Writer1 %
Table Writer1 %- Scorer1 %
- Column Filter1 %
- Shuffle1 %
- Sorter1 %
- Column Splitter1 %
- CSV Writer< 1 %
- Model Writer< 1 %
Model Writer< 1 %- Feature Selection Loop Start (1:1)< 1 %
- Feature Selection Loop Start (2:2)< 1 %
- X-Partitioner< 1 %
- Numeric Scorer< 1 %
- Cell Splitter< 1 %
- Partitioning< 1 %
- Table View< 1 %
Excel Writer (XLS)< 1 %- Excel Writer< 1 %
- ROC Curve (JavaScript)< 1 %
- Parameter Optimization Loop End< 1 %
Variable to Table Column< 1 %- Loop End (Column Append)< 1 %
Loop End< 1 %- Rule-based Row Filter< 1 %
Table Row to Variable< 1 %- X-Aggregator< 1 %
Numeric Scorer< 1 %- Tree Ensemble Learner< 1 %
- Lag Column< 1 %
- GroupBy< 1 %
- Denormalizer< 1 %
- RowID< 1 %
- Timer Info< 1 %
- Line Plot (Plotly)< 1 %
Excel Sheet Appender (XLS)< 1 %- Variable to Table Column< 1 %
Table Row to Variable< 1 %Recursive Loop End< 1 %- RProp MLP Learner< 1 %
- Entropy Scorer< 1 %
Concatenate (Optional in)< 1 %- Linear Correlation< 1 %
Row Filter (deprecated)< 1 %- Top k Row Filter< 1 %
- Interactive Table (legacy)< 1 %
- Table to H2O< 1 %
- Bar Chart (JFreeChart)< 1 %
- Document Viewer< 1 %
- Line Plot (JavaScript)< 1 %
Container Input (Variable)< 1 %- R Snippet< 1 %
- 2D/3D Scatterplot< 1 %
Table Column to Variable< 1 %CSV Reader< 1 %- Java Snippet< 1 %
- Feature Selection Loop End< 1 %
- Column List Loop Start< 1 %
Naive Bayes Learner< 1 %- Naive Bayes Learner< 1 %
- Decision Tree to Image< 1 %
- Decision Tree Learner< 1 %
PCA< 1 %- Regression Predictor< 1 %
Scorer< 1 %Tree Ensemble Learner< 1 %- Random Forest Predictor< 1 %
- Row Filter (Labs)< 1 %
- Joiner< 1 %
- Normalizer< 1 %
Column Rename< 1 %- Statistics< 1 %
- Histogram (legacy)< 1 %
- Lift Chart (legacy)< 1 %
- Line Plot (legacy)< 1 %
- Scatter Plot (legacy)< 1 %
- Color Manager< 1 %
- ROC Curve (legacy)< 1 %
- Similarity Search< 1 %
- Model to Cell< 1 %
- Voting Loop End< 1 %
- DL4J Feedforward Learner (Classification) (legacy)< 1 %
- Rule Viewer (local) (Legacy)< 1 %
- Create Temp Folder< 1 %
- Lift Chart (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
- Multiple Selection Widget< 1 %
- Parameter Optimization Loop Start< 1 %
- R Snippet< 1 %
- Data to Report (BIRT)< 1 %
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Workflows
01_AnalyticsKNIME Hub- 01_AnalyticsKNIME Hub
- 01_Bike_Restocking_Alert_Training_w_Feature_SelectionKNIME Hub
- 01_Feature_Elimination_Done_ManuallyKNIME Hub
- 01_Feature_Elimination_with_Naive_BayesKNIME Hub
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