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Brute_​Force_​Feature_​Selection

Create some dataSpecify the column namesyou want to iterate overtrain / validation80 / 20Split into featureand other columnskeep onlythe 1sKeep onlypresent featuresRe-appendnon-feature columnsLearn model with currentfeature subsetPredict validation datawith current modelNode 14Score thecurrent modelSet accuracyto 0Handle the firstiteration (no features)separately in thetop branchData Generator Parameter OptimizationLoop Start Partitioning Variable toTable Row ReferenceColumn Splitter Transpose Row Filter Transpose ReferenceColumn Filter Column Appender DecisionTree Learner Decision TreePredictor Extract TableDimension Scorer Math Formula(Variable) ParameterOptimization Loop End CASE SwitchVariable (Start) CASE SwitchVariable (End) Math Formula(Variable) Create some dataSpecify the column namesyou want to iterate overtrain / validation80 / 20Split into featureand other columnskeep onlythe 1sKeep onlypresent featuresRe-appendnon-feature columnsLearn model with currentfeature subsetPredict validation datawith current modelNode 14Score thecurrent modelSet accuracyto 0Handle the firstiteration (no features)separately in thetop branchData Generator Parameter OptimizationLoop Start Partitioning Variable toTable Row ReferenceColumn Splitter Transpose Row Filter Transpose ReferenceColumn Filter Column Appender DecisionTree Learner Decision TreePredictor Extract TableDimension Scorer Math Formula(Variable) ParameterOptimization Loop End CASE SwitchVariable (Start) CASE SwitchVariable (End) Math Formula(Variable)

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