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Oversampled Training Data Lags target column n rows andremoves n rows (that would havemissing lag data) Simple Linear Regression to test data Calculate Change for predictors as well NB test equal NO/UP/DOWN NB test equal NO/YES Loads PreWoe data and calculates S2_change Group by season Check Feature importance S2 S2_change UP/DOWN/NO S2_changeS2preWoeIndnmiCheck correlationNode 96Node 97Node 98Node 107Node 117Node 118Classify UP/DOWN/NOS2ClassifySeasonCheck correlationNode 166nmiprewoenmi changeprewoe changeNode 171Node 172Node 173 Lag Column Linear RegressionLearner Partitioning RegressionPredictor Numeric Scorer Calculate Change Load Data Calculate Change Calculate Change Joiner Joiner Linear Correlation Rule Engine Interpolate Indexes Partitioning Column Filter Decision TreePredictor DecisionTree Learner SMOTE Decision TreePredictor DecisionTree Learner Partitioning Column Filter Rule Engine SMOTE DataBySeason Concatenate Concatenate Concatenate Random ForestLearner Random ForestPredictor Random ForestLearner Random ForestPredictor Math Formula RowID RowID Math Formula Feature Importance RF Scores DT Scores Random Forest Learner(Regression) Random Forest Predictor(Regression) Numeric Scorer RowID Math Formula Regression Results Regression Results Rule Engine SMOTE 6% Lag Column Random Forest Learner(Regression) Random Forest Predictor(Regression) Math Formula RowID Numeric Scorer Regression Results Rule Engine Regression Results Numeric Scorer queued Random Forest Learner(Regression) queued Math Formula Random Forest Predictor(Regression) queued RowID Random ForestLearner Random ForestPredictor Math Formula Results Linear Correlation Scatter Matrix(local) Lag Column Lag Column Lag Column Lag Column X-Partitioner X-Aggregator queued Column Filter Oversampled Training Data Lags target column n rows andremoves n rows (that would havemissing lag data) Simple Linear Regression to test data Calculate Change for predictors as well NB test equal NO/UP/DOWN NB test equal NO/YES Loads PreWoe data and calculates S2_change Group by season Check Feature importance S2 S2_change UP/DOWN/NO S2_changeS2preWoeIndnmiCheck correlationNode 96Node 97Node 98Node 107Node 117Node 118Classify UP/DOWN/NOS2ClassifySeasonCheck correlationNode 166nmiprewoenmi changeprewoe changeNode 171Node 172Node 173 Lag Column Linear RegressionLearner Partitioning RegressionPredictor Numeric Scorer Calculate Change Load Data Calculate Change Calculate Change Joiner Joiner Linear Correlation Rule Engine Interpolate Indexes Partitioning Column Filter Decision TreePredictor DecisionTree Learner SMOTE Decision TreePredictor DecisionTree Learner Partitioning Column Filter Rule Engine SMOTE DataBySeason Concatenate Concatenate Concatenate Random ForestLearner Random ForestPredictor Random ForestLearner Random ForestPredictor Math Formula RowID RowID Math Formula Feature Importance RF Scores DT Scores Random Forest Learner(Regression) Random Forest Predictor(Regression) Numeric Scorer RowID Math Formula Regression Results Regression Results Rule Engine SMOTE 6% Lag Column Random Forest Learner(Regression) Random Forest Predictor(Regression) Math Formula RowID Numeric Scorer Regression Results Rule Engine Regression Results Numeric Scorer queued Random Forest Learner(Regression) queued Math Formula Random Forest Predictor(Regression) queued RowID Random ForestLearner Random ForestPredictor Math Formula Results Linear Correlation Scatter Matrix(local) Lag Column Lag Column Lag Column Lag Column X-Partitioner X-Aggregator queued Column Filter

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Created by: jonatanlinberg
Created at: 2022-03-14
On NodePit since: 2022-03-14
Last update: 2024-12-17
Created with KNIME version: v4.4.2

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