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Cardiovascular Disease Prediction using 'autofeat' Generated Features

Cardiovascular Disease Prediction using 'autofeat' Generated Features
Cardiovascular disease datasetClassification problem Modeling with existing features Modeling using only autogenerated featues (not existing) Using autofeat feature predictor 80:20Min/MaxOnly usegeneratedfeatures'cardio' to Numbercardio & genderMin & Max values tabalso70000 X 12Appyl on testdata Autofeat Generator Partitioning Normalizer Random ForestLearner Random ForestPredictor Scorer Scorer Random ForestLearner Random ForestPredictor Category To Number Number To String Domain Calculator Number ToCategory (Apply) Number ToCategory (Apply) Table Reader Number ToCategory (Apply) Category ToNumber (Apply) Autofeat Apply Cardiovascular disease datasetClassification problem Modeling with existing features Modeling using only autogenerated featues (not existing) Using autofeat feature predictor 80:20Min/MaxOnly usegeneratedfeatures'cardio' to Numbercardio & genderMin & Max values tabalso70000 X 12Appyl on testdataAutofeat Generator Partitioning Normalizer Random ForestLearner Random ForestPredictor Scorer Scorer Random ForestLearner Random ForestPredictor Category To Number Number To String Domain Calculator Number ToCategory (Apply) Number ToCategory (Apply) Table Reader Number ToCategory (Apply) Category ToNumber (Apply) Autofeat Apply

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Created by: ashok
Created at: 2021-09-05
On NodePit since: 2021-09-16
Last update: 2024-12-17
Created with KNIME version: v4.4.1
Tags: Feature Engineeringcardiovascularmedical diagnosticHealthcare

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