Icon

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

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
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

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!