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Prediction Service Consumer

Learn to predictcluster by coordinateTraining set generatorData points in 4 clustersScore training accuracyCompute predictionsusing a workflow that applies a model to dataScore test accuracyUse 30% for training70% for testingCompare accuracy on training and test dataWhen selected, the predictions willcontain in addition to the confidence for the predicted class the confidences for all other classes.Random ForestLearner Data Generator Scorer Call WorkflowService Scorer Partitioning Joiner Append ClassConfidence to Result? Learn to predictcluster by coordinateTraining set generatorData points in 4 clustersScore training accuracyCompute predictionsusing a workflow that applies a model to dataScore test accuracyUse 30% for training70% for testingCompare accuracy on training and test dataWhen selected, the predictions willcontain in addition to the confidence for the predicted class the confidences for all other classes.Random ForestLearner Data Generator Scorer Call WorkflowService Scorer Partitioning Joiner Append ClassConfidence to Result?

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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: carlwitt
Created at: 2021-11-23
On NodePit since: 2021-11-23
Last update: 2024-04-26
Created with KNIME version: v4.5.0.qualifier

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