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Workflow 1 - The basic

STATISTICS TABLE READERImport our Excel data into the workflow PARTITIONING RANDOM FORESTRandom Forest Learners learns to classify our pN based on 80% of the data.Random Forest Predictor predicts our pN for the rest of the data (20%) based on what theRandom Forest Learner learned. SCORERScore the given pN predictions in a 2x2 confusion matrix Node 180% upper port20% lower portStats and exploratoryhistograms in ViewBoxplot by property in ViewNode 28Node 54Node 55Node 90 Excel Reader Partitioning Statistics Conditional BoxPlot (JavaScript) Number to String Random ForestLearner Random ForestPredictor Scorer (JavaScript) STATISTICS TABLE READERImport our Excel data into the workflow PARTITIONING RANDOM FORESTRandom Forest Learners learns to classify our pN based on 80% of the data.Random Forest Predictor predicts our pN for the rest of the data (20%) based on what theRandom Forest Learner learned. SCORERScore the given pN predictions in a 2x2 confusion matrix Node 180% upper port20% lower portStats and exploratoryhistograms in ViewBoxplot by property in ViewNode 28Node 54Node 55Node 90 Excel Reader Partitioning Statistics Conditional BoxPlot (JavaScript) Number to String Random ForestLearner Random ForestPredictor Scorer (JavaScript)

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

Download Workflow
Created by: JasperDVG
Created at: 2024-04-27
On NodePit since: 2024-07-15
Last update: 2024-09-19
Created with KNIME version: v5.3.0

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