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Correlation Optimization_​corrected

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 341Parameter OptimizationLoop Start ParameterOptimization Loop End Partitioning Lag Column Excel Reader (XLS) Excel SheetAppender (XLS) Linear Correlation Table Rowto Variable 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 Table Rowto Variable

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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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