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02_​Techniques_​for_​Dimensionality_​Reduction

Workflow

This part takes very long time! Execute with discretion! Dimensionality Reduction This workflow shows 7 methods for dimensionality reduction: 1. high ratio of missing values 2. low variance 3. high correlation with other data columns 4. PCA 5. Tree ensemble based 6. Backward Elimination 7. Forward Construction eliminate colsw/ > 90% missingSelect prediction taskRead all data Column Selectionby Missing Values Target Selection Reading all data Joiner Column Splitter Joiner Joiner Joiner Joiner Joiner Joiner Joiner Baseline Evaluation Reduction basedon Missing Values Tree Ensemblebased Reduction Backward FeatureElimination Forward FeatureConstruction Reductionbased on PCA Reduction basedon Low Variance Reduction basedon High Corr. ROC Curve(JavaScript) This part takes very long time! Execute with discretion! Dimensionality Reduction This workflow shows 7 methods for dimensionality reduction: 1. high ratio of missing values 2. low variance 3. high correlation with other data columns 4. PCA 5. Tree ensemble based 6. Backward Elimination 7. Forward Construction eliminate colsw/ > 90% missingSelect prediction taskRead all data Column Selectionby Missing Values Target Selection Reading all data Joiner Column Splitter Joiner Joiner Joiner Joiner Joiner Joiner Joiner Baseline Evaluation Reduction basedon Missing Values Tree Ensemblebased Reduction Backward FeatureElimination Forward FeatureConstruction Reductionbased on PCA Reduction basedon Low Variance Reduction basedon High Corr. ROC Curve(JavaScript)

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Nodes

02_​Techniques_​for_​Dimensionality_​Reduction consists of the following 709 nodes(s):

Plugins

02_​Techniques_​for_​Dimensionality_​Reduction contains nodes provided by the following 8 plugin(s):