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Classification_​RF_​H2O_​Feature_​Selection_​v2

A Cross-Validation setup is provided by using a Support-Vector-Machine (SVM)

A Cross-Validation setup is provided by using a Support-Vector-Machine (SVM)
as base learning algorithm.

Date : 9/11/2019Use this as last version Samples scores Node 167Node 234Node 242Node 243Node 244Node 250Select_KbestNode 270Node 403Node 404Node 410Node 411Node 444Node 446Node 451Node 454Node 455Node 458Node 459Node 460Node 4733-foldsNode 477Set ratioRFENode 483VarianceThresholdSet ratioNode 490Node 491Node 492Node 493Node 494Node 496 Counting Loop Start H2O Local Context Partitioning Table to H2O Table to H2O RowID Python Script (1⇒1) Samples Scores H2O RandomForest Learner H2O Predictor(Classification) Java Edit Varaibles OutputFiles Loop End (3 ports) getSampleScores Table Reader RowID Column Splitter ConvertRowIdToNum PerformanceWithStdv RankFeatures Column AutoType Cast SampleByRatio Scorer_new IntegerConfiguration Python Script (1⇒1) Genes FilterInformationGain Python Script (1⇒1) IntegerConfiguration Rank Correlation Value Counter Select KBest RFE Features VarianceThreshold Select KBest Date : 9/11/2019Use this as last version Samples scores Node 167Node 234Node 242Node 243Node 244Node 250Select_KbestNode 270Node 403Node 404Node 410Node 411Node 444Node 446Node 451Node 454Node 455Node 458Node 459Node 460Node 4733-foldsNode 477Set ratioRFENode 483VarianceThresholdSet ratioNode 490Node 491Node 492Node 493Node 494Node 496 Counting Loop Start H2O Local Context Partitioning Table to H2O Table to H2O RowID Python Script (1⇒1) Samples Scores H2O RandomForest Learner H2O Predictor(Classification) Java Edit Varaibles OutputFiles Loop End (3 ports) getSampleScores Table Reader RowID Column Splitter ConvertRowIdToNum PerformanceWithStdv RankFeatures Column AutoType Cast SampleByRatio Scorer_new IntegerConfiguration Python Script (1⇒1) Genes FilterInformationGain Python Script (1⇒1) IntegerConfiguration Rank Correlation Value Counter Select KBest RFE Features VarianceThreshold Select KBest

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