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20220707 Pikairos Machine learning based on signals or sets of descriptors

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Split Datasetinto Training & Testdatasets70% - 30%Train aRF Classifierusing a Byte VectorClassificationStatistics startingfrom Byte VectorDescriptorConvertDescriptor Columnsinto a Byte VectorRead IRISClassification DatasetRenormalizebetween 0 & 255and Convert to IntegerNormalizeColumns between0 & 1 min / max valuesSplit Datasetinto Training & Testdatasets70% - 30%ClassificationStatistics startingfrom Byte VectorDescriptorTrain aRF ClassifierDirectly Using theOriginal DescriptorsTEL ClassifierGBoost ClassifierPartitioning Random ForestLearner Random ForestPredictor Scorer Create Byte Vector CSV Reader Math Formula(Multi Column) Normalizer Random ForestPredictor Partitioning Scorer Random ForestLearner Tree EnsembleLearner Gradient BoostedTrees Learner Split Datasetinto Training & Testdatasets70% - 30%Train aRF Classifierusing a Byte VectorClassificationStatistics startingfrom Byte VectorDescriptor ConvertDescriptor Columnsinto a Byte VectorRead IRISClassification DatasetRenormalizebetween 0 & 255and Convert to IntegerNormalizeColumns between0 & 1 min / max valuesSplit Datasetinto Training & Testdatasets70% - 30%ClassificationStatistics startingfrom Byte VectorDescriptorTrain aRF ClassifierDirectly Using theOriginal DescriptorsTEL ClassifierGBoost ClassifierPartitioning Random ForestLearner Random ForestPredictor Scorer Create Byte Vector CSV Reader Math Formula(Multi Column) Normalizer Random ForestPredictor Partitioning Scorer Random ForestLearner Tree EnsembleLearner Gradient BoostedTrees Learner

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Created by: Molina
Created at: 2022-07-07
On NodePit since: 2022-07-08
Last update: 2024-04-24
Created with KNIME version: v4.5.2

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