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JKISeason2-9

Uses Linear Regression to produce signifiance factor coefficients. Uses AutoMl to produce best model (Gradient Boosted Trees.)

Read DataNode 2Node 3Node 470/30Node 11Node 12Node 13SortCoefficientsRemoveInrerceptNode 27GradientBoosted TreesNode 30Node 33Node 34Right Click toOpen Final ReportCSV Reader Normalizer Linear Correlation Correlation Filter Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Sorter Row Filter Number To String AutoML Workflow Executor Scorer Missing Value Number To String Factor Significance& Statistics Read DataNode 2Node 3Node 470/30Node 11Node 12Node 13SortCoefficientsRemoveInrerceptNode 27GradientBoosted TreesNode 30Node 33Node 34Right Click toOpen Final ReportCSV Reader Normalizer Linear Correlation Correlation Filter Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Sorter Row Filter Number To String AutoML Workflow Executor Scorer Missing Value Number To String Factor Significance& Statistics

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