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Linear Regression Learner Indicators to Wind Speed

This is to check the effectivness of eachIndicator in determining the wind speedfor that day. It also shows theeffectiveness if you include all 3 of theindicator used together. Overall theredoesn't seem to be a reasonablecorrelation If you look at each of these numericscorers is easy to see that the indicatorsdo not do a good job of predicting thewind with mean error of around 4 These are my data science models. Node 1Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16 CSV Reader Linear RegressionLearner Missing ValueColumn Filter Linear RegressionLearner Linear RegressionLearner RegressionPredictor RegressionPredictor RegressionPredictor Partitioning Numeric Scorer Numeric Scorer Numeric Scorer Linear RegressionLearner RegressionPredictor Numeric Scorer This is to check the effectivness of eachIndicator in determining the wind speedfor that day. It also shows theeffectiveness if you include all 3 of theindicator used together. Overall theredoesn't seem to be a reasonablecorrelation If you look at each of these numericscorers is easy to see that the indicatorsdo not do a good job of predicting thewind with mean error of around 4 These are my data science models. Node 1Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16CSV Reader Linear RegressionLearner Missing ValueColumn Filter Linear RegressionLearner Linear RegressionLearner RegressionPredictor RegressionPredictor RegressionPredictor Partitioning Numeric Scorer Numeric Scorer Numeric Scorer Linear RegressionLearner RegressionPredictor Numeric Scorer

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Created by: apugh
Created at: 2022-04-21
On NodePit since: 2022-04-23
Last update: 2024-05-01
Created with KNIME version: v4.5.1

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