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Categorical Features Encoding--II

Categorical Features Encoding challenge--Kaggle
Categorical Feature EngineeringData Source:Categorical Feature Encoding Challenge https://www.kaggle.com/c/cat-in-the-dat Without categorical feature encoding With categorical feature encoding f1-score: 0.493for minority classf1-score: 0.424for minority class5-foldsNode 4180:20 stratifiedtrain data: 240000test data: 600000: 2082361: 91764300000 X 24Target col: target Scorer Normalizer Scorer X-Partitioner X-Aggregator Number To String Partitioning Value Counter LogisticRegression Learner Logistic RegressionPredictor LogisticRegression Learner Logistic RegressionPredictor Table Reader Auto CategoricalFeatures Embedding Categorical Feature EngineeringData Source:Categorical Feature Encoding Challenge https://www.kaggle.com/c/cat-in-the-dat Without categorical feature encoding With categorical feature encoding f1-score: 0.493for minority classf1-score: 0.424for minority class5-foldsNode 4180:20 stratifiedtrain data: 240000test data: 600000: 2082361: 91764300000 X 24Target col: target Scorer Normalizer Scorer X-Partitioner X-Aggregator Number To String Partitioning Value Counter LogisticRegression Learner Logistic RegressionPredictor LogisticRegression Learner Logistic RegressionPredictor Table Reader Auto CategoricalFeatures Embedding

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Created by: ashok
Created at: 2019-10-16
On NodePit since: 2021-09-04
Last update: 2024-12-17
Created with KNIME version: v4.4.1
Tags: categorical features encoding

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