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Correlation Optimization

2 Examples for Parameter Optimization Loops

This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we optimize the minimum number of records per node within a range [2,15] with step 1. In the Logistic Regression we optimize step size in (0,1] step =0.1 and variance in (0, 5] step = 0.1

Test Check correlation commentsCompare Accurcy fordifferent interations80% for training20% for testingNode 337Node 338Node 340Node 341 Parameter OptimizationLoop Start ParameterOptimization Loop End Partitioning Lag Column Excel Reader (XLS) Excel SheetAppender (XLS) Linear Correlation Test Check correlation commentsCompare Accurcy fordifferent interations80% for training20% for testingNode 337Node 338Node 340Node 341Parameter OptimizationLoop Start ParameterOptimization Loop End Partitioning Lag Column Excel Reader (XLS) Excel SheetAppender (XLS) Linear Correlation

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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: kathrinmelcher
Created at: 2017-09-21
On NodePit since: 2022-02-06
Last update: 2024-04-28
Created with KNIME version: v4.1.2
Tags: parameter optimization optimization machine learning

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