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SVM and Adult Dataset - Data Preparation - vtreat

<p>SVM and Adult Dataset - quick demonstration how to prepare the data</p>
SVM and Adult Dataset - quick demonstration how to prepare the data
Another method to get pure numeric values. Data preparation with vtreat
Data preparation for Machine Learning with KNIME and the Python “vtreat” package

https://medium.com/p/efcaf58fa783

original by: https://hub.knime.com/ajc
vtreat Learner Python
estimate probabilities
LibSVM (3.7)
Weka Predictor (3.7)
estimate probabilities
LibSVM (3.7)
Binary Classification Inspector
Weka Predictor (3.7)
AUC 0.88
Binary Classification Inspector
original by: https://hub.knime.com/ajc
vtreat Fitter Python
AUC 0.87
Binary Classification Inspector
prepare data for SVMby normalising andconverting to numbers
RProp MLP - Data Preparation Binary - Compute
svm_model.pmml
PMML Writer
AUC 0.84
Binary Classification Inspector
Column Filter
SVM Learner
if($["income"] == "<=50K","0","1")Target
Expression
SVM Predictor
Adult Dataset
Example Data Reader
Activate Conda Environmentbased on Operating SystemWindows or macOS
conda_environment_lightgbm
test (25%)
RProp MLP - Data Preparation Binary - Apply
SVM Predictor
SVM Learner
Table Partitioner

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

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Created by: m_lauber
Created at: 2025-11-21
On NodePit since: 2025-11-21
Last update: 2025-11-21
Created with KNIME version: v5.8.1
Tags: svmvtreatclassification

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