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Categorical Features Encoding--I

Categorical Feature Encoding using Auto Categorical Features Embedding
Without categorical feature encoding With categorical feature encoding Categorical Feature EngineeringData Source:Categorical Feature Encoding Challenge https://www.kaggle.com/c/cat-in-the-dat f1-score: 0.477for minority classuse defaultconfigurationf1-score: 0.253for minority class5-folds100 iterationsChange java heap spacein knime.ini to at least4096m80:20 stratifiedtrain data: 240000test data: 600000: 2082361: 91764300000 X 24Target col: target Auto CategoricalFeatures Embedding Scorer Normalizer Random ForestLearner Random ForestPredictor Scorer X-Partitioner X-Aggregator Random ForestLearner Random ForestPredictor Number To String Partitioning Value Counter Table Reader Domain Calculator Without categorical feature encoding With categorical feature encoding Categorical Feature EngineeringData Source:Categorical Feature Encoding Challenge https://www.kaggle.com/c/cat-in-the-dat f1-score: 0.477for minority classuse defaultconfigurationf1-score: 0.253for minority class5-folds100 iterationsChange java heap spacein knime.ini to at least4096m80:20 stratifiedtrain data: 240000test data: 600000: 2082361: 91764300000 X 24Target col: target Auto CategoricalFeatures Embedding Scorer Normalizer Random ForestLearner Random ForestPredictor Scorer X-Partitioner X-Aggregator Random ForestLearner Random ForestPredictor Number To String Partitioning Value Counter Table Reader Domain Calculator

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Created by: ashok
Created at: 2019-10-16
On NodePit since: 2021-09-04
Last update: 2024-11-17
Created with KNIME version: v4.4.1
Tags: categorical features encoding

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