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Airfoil Self-Noise prediction using Autofeat Generator

Airfoil Self-Noise prediction using Autofeat Generator
About DataThe NASA data set comprises different size NACA 0012 airfoils at variouswind tunnel speeds and angles of attack. The span of the airfoil and theobserver position were the same in all of the experiments. (Target feature isScaledSoundPressure)UCI ML Repo: https://archive.ics.uci.edu/ml/datasets/airfoil+self-noise# Without autofeat features With autofeat feature generator z-score80:20train datarow-wiseresults1503 X 6Get resultsas columnsGetavg of iterationsCollect regression resultsloop over10 timesAppyl on testdata Normalizer Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Linear RegressionLearner RegressionPredictor Numeric Scorer Table Reader X-Aggregator Transpose Statistics Variable ConditionLoop End Generic Loop Start X-Partitioner Autofeat Generator Autofeat Apply About DataThe NASA data set comprises different size NACA 0012 airfoils at variouswind tunnel speeds and angles of attack. The span of the airfoil and theobserver position were the same in all of the experiments. (Target feature isScaledSoundPressure)UCI ML Repo: https://archive.ics.uci.edu/ml/datasets/airfoil+self-noise# Without autofeat features With autofeat feature generator z-score80:20train datarow-wiseresults1503 X 6Get resultsas columnsGetavg of iterationsCollect regression resultsloop over10 timesAppyl on testdataNormalizer Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Linear RegressionLearner RegressionPredictor Numeric Scorer Table Reader X-Aggregator Transpose Statistics Variable ConditionLoop End Generic Loop Start X-Partitioner Autofeat Generator Autofeat Apply

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Created by: ashok
Created at: 2021-09-17
On NodePit since: 2021-09-20
Last update: 2024-04-27
Created with KNIME version: v4.4.1
Tags: NASAWind Tunnel

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