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SAE_​Milestone_​2

60% relativeDraw randomlyrandom seed 50000per node 10Gini index 80% relativeDraw randomlyrandom seed 80000per node 10Gini index Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17Node 19Node 20Node 21Node 22Node 23Node 24Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34Node 35Node 36Node 37Node 38Node 39Node 40Node 42Node 44Node 45Node 46Node 48Node 51Node 52Node 53Node 54Node 55Node 56Node 57Node 58Node 59Node 60 CSV Reader Normalizer k-Means Denormalizer Denormalizer Color Manager Parallel Coordinates(local) Scatter Plot(local) CSV Reader Normalizer k-Means Denormalizer Denormalizer Color Manager Parallel Coordinates(local) Scatter Plot(local) Missing Value Color Manager Partitioning DecisionTree Learner Decision TreePredictor Scorer Decision Treeto Ruleset Missing Value CSV Reader Color Manager Partitioning DecisionTree Learner Decision TreePredictor Scorer Decision Treeto Ruleset Missing Value CSV Reader Shape Manager Shape Manager Missing Value String To Number CSV Reader Missing Value Linear RegressionLearner RegressionPredictor Numeric Scorer Column Splitter Row Filter Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Column Splitter CSV Reader Row Filter Partitioning Missing Value 60% relativeDraw randomlyrandom seed 50000per node 10Gini index 80% relativeDraw randomlyrandom seed 80000per node 10Gini index Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17Node 19Node 20Node 21Node 22Node 23Node 24Node 26Node 27Node 28Node 29Node 30Node 31Node 32Node 33Node 34Node 35Node 36Node 37Node 38Node 39Node 40Node 42Node 44Node 45Node 46Node 48Node 51Node 52Node 53Node 54Node 55Node 56Node 57Node 58Node 59Node 60CSV Reader Normalizer k-Means Denormalizer Denormalizer Color Manager Parallel Coordinates(local) Scatter Plot(local) CSV Reader Normalizer k-Means Denormalizer Denormalizer Color Manager Parallel Coordinates(local) Scatter Plot(local) Missing Value Color Manager Partitioning DecisionTree Learner Decision TreePredictor Scorer Decision Treeto Ruleset Missing Value CSV Reader Color Manager Partitioning DecisionTree Learner Decision TreePredictor Scorer Decision Treeto Ruleset Missing Value CSV Reader Shape Manager Shape Manager Missing Value String To Number CSV Reader Missing Value Linear RegressionLearner RegressionPredictor Numeric Scorer Column Splitter Row Filter Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Column Splitter CSV Reader Row Filter Partitioning Missing Value

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: elama
Created at: 2024-01-25
On NodePit since: 2024-08-04
Last update: 2024-09-16
Created with KNIME version: v4.6.5

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