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Classification using 'autofeat' Engineered Features

Classification using 'autofeat' Engineered Features
Workflow with existing features Modeling uses only the generated features, not existing Health Insurance Cross Sell PredictionClassification problemData: https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction no of steps forfeature generation: 1Target to StringTarget To StringOnly usegenerated &NOT existingfeatures381109 X 11CalculateMin/Max alsoAppyl on testdata Autofeat Generator Partitioning Normalizer Number To String String To Number Number To String Number To String Random ForestLearner Random ForestPredictor Scorer Scorer Random ForestLearner Random ForestPredictor Table Reader Domain Calculator String To Number Autofeat Apply Workflow with existing features Modeling uses only the generated features, not existing Health Insurance Cross Sell PredictionClassification problemData: https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction no of steps forfeature generation: 1Target to StringTarget To StringOnly usegenerated &NOT existingfeatures381109 X 11CalculateMin/Max alsoAppyl on testdataAutofeat Generator Partitioning Normalizer Number To String String To Number Number To String Number To String Random ForestLearner Random ForestPredictor Scorer Scorer Random ForestLearner Random ForestPredictor Table Reader Domain Calculator String To Number Autofeat Apply

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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: ashok
Created at: 2021-09-05
On NodePit since: 2021-09-16
Last update: 2024-04-26
Created with KNIME version: v4.4.1
Tags: Feature EngineeringHealthcareInsuranceMarketingCross-Sell

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