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04-titanic_​h2o

D Tree Data Prep Data Input Ideas for improvement- Age binning (child, adult, senior) -> Numeric binning- Family size -> Math node SibSp+Parch - Alone -> Math fam_size = 0- Title:-- StringmanipulationModewithoperationsubstr($Name$,indexOfChars($Name$,"," )+2 ,indexOfChars($Name$,".")- indexOfChars($Name$,"," )-1 )-- RuleEnginenodeusesthisexpression$title$ IN ("Mr.","Miss.","Mrs.", "Ms.", "Mme") => FALSE //all othersTRUE =>TRUE AutoML LONG RUNTIME 1 hour or even more This workflow demonstrates the usage of some of the H2O nodeswith the Titanic data Node 5random seed:898989Node 8Node 9Node 12Node 30Node 53Node 62Node 63Node 65Node 67Node 68Alternative zuMissing ValueNode 71color forsurvivedNode 73has_cabinfamily sizetravelsaloneextract titlehas_titleNode 79Node 97Node 98Node 99Node 100Node 101Node 103Node 104Node 106Node 109Node 111Node 113Node 114Node 115Node 116Node 117Node 118 MISSING DataExplorer Partitioning DecisionTree Learner Decision TreePredictor ROC Curve (local) Normalizer MISSING Scorer(JavaScript) One to Many MISSING BinaryClassification Inspector Number To String Column Filter Missing Value Missing ValueColumn Filter CSV Reader Color Manager Scatter Plot Rule Engine Math Formula Math Formula String Manipulation Rule Engine Column Filter CombinePredictionResults MISSING Tableto H2O MISSING H2OLocal Context MISSING H2OAutoML Learner MISSING H2O Predictor(Classification) MISSING H2OPartitioning MISSING H2O GradientBoosting Machine Learner MISSING H2OModel to MOJO MISSING H2O Predictor(Classification) MISSING H2OPartitioning MISSING H2Oto Table Scorer Scorer MISSING H2Oto Table ROC Curve MISSING H2OBinomial Scorer D Tree Data Prep Data Input Ideas for improvement- Age binning (child, adult, senior) -> Numeric binning- Family size -> Math node SibSp+Parch - Alone -> Math fam_size = 0- Title:-- StringmanipulationModewithoperationsubstr($Name$,indexOfChars($Name$,"," )+2 ,indexOfChars($Name$,".")- indexOfChars($Name$,"," )-1 )-- RuleEnginenodeusesthisexpression$title$ IN ("Mr.","Miss.","Mrs.", "Ms.", "Mme") => FALSE //all othersTRUE =>TRUE AutoML LONG RUNTIME 1 hour or even more This workflow demonstrates the usage of some of the H2O nodeswith the Titanic data Node 5random seed:898989Node 8Node 9Node 12Node 30Node 53Node 62Node 63Node 65Node 67Node 68Alternative zuMissing ValueNode 71color forsurvivedNode 73has_cabinfamily sizetravelsaloneextract titlehas_titleNode 79Node 97Node 98Node 99Node 100Node 101Node 103Node 104Node 106Node 109Node 111Node 113Node 114Node 115Node 116Node 117Node 118 MISSING DataExplorer Partitioning DecisionTree Learner Decision TreePredictor ROC Curve (local) Normalizer MISSING Scorer(JavaScript) One to Many MISSING BinaryClassification Inspector Number To String Column Filter Missing Value Missing ValueColumn Filter CSV Reader Color Manager Scatter Plot Rule Engine Math Formula Math Formula String Manipulation Rule Engine Column Filter CombinePredictionResults MISSING Tableto H2O MISSING H2OLocal Context MISSING H2OAutoML Learner MISSING H2O Predictor(Classification) MISSING H2OPartitioning MISSING H2O GradientBoosting Machine Learner MISSING H2OModel to MOJO MISSING H2O Predictor(Classification) MISSING H2OPartitioning MISSING H2Oto Table Scorer Scorer MISSING H2Oto Table ROC Curve MISSING H2OBinomial Scorer

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Created by: jan-p
Created at: 2020-08-27
On NodePit since: 2022-07-26
Last update: 2024-04-17
Created with KNIME version: v4.6.0

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