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HealthInsurance Cross-Sell Prediction with Categorical Feature Engineering

HealthInsurance Cross-Sell--Categorical Feature Engineering
Categorical Feature EngineeringData Source: Health Insurance Cross Sell Prediction https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction Without categorical feature encoding With categorical feature encoding f1-score: 0.225for minority classuse defaultconfigurationf1-score: 0.033for minority class5-foldsuse defaultconfiguration80:20 stratifiedtrain data: 304887test data: 762223,81000 X 11Target col: Response Auto CategoricalFeatures Embedding Scorer Normalizer Random ForestLearner Random ForestPredictor Scorer X-Partitioner X-Aggregator Random ForestLearner Random ForestPredictor Number To String Partitioning Table Reader Categorical Feature EngineeringData Source: Health Insurance Cross Sell Prediction https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction Without categorical feature encoding With categorical feature encoding f1-score: 0.225for minority classuse defaultconfigurationf1-score: 0.033for minority class5-foldsuse defaultconfiguration80:20 stratifiedtrain data: 304887test data: 762223,81000 X 11Target col: Response Auto CategoricalFeatures Embedding Scorer Normalizer Random ForestLearner Random ForestPredictor Scorer X-Partitioner X-Aggregator Random ForestLearner Random ForestPredictor Number To String Partitioning Table Reader

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Created by: ashok
Created at: 2019-10-16
On NodePit since: 2021-09-17
Last update: 2024-11-21
Created with KNIME version: v4.4.1
Tags: categorical features encodingMarketingHealthcarecross-sellInsurance

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