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Modelo_​Learning_​Analytics_​2022

Cross validation example
Lectura de Datosypreprocesamiento Entrenamiento y testeo con validación cruzada Evaluación de las métricasconsolidadas Calcular las métricas de cada folder Evaluate onwhole out-of-foldpredictionsIterate over foldsGet metricsfor the first classSubset ofmetrics to trackCollect resultsfrom each foldMean and STDof precision and recallData y Pre-ProcesamientoNode 302Node 303 Random ForestLearner Random ForestPredictor X-Partitioner X-Aggregator Scorer (deprecated) Scorer (deprecated) Group Loop Start Table Row to Variable(deprecated) Variable to TableRow (deprecated) Loop End(deprecated) GroupBy DATA Scorer (JavaScript) SMOTE Lectura de Datosypreprocesamiento Entrenamiento y testeo con validación cruzada Evaluación de las métricasconsolidadas Calcular las métricas de cada folder Evaluate onwhole out-of-foldpredictionsIterate over foldsGet metricsfor the first classSubset ofmetrics to trackCollect resultsfrom each foldMean and STDof precision and recallData y Pre-ProcesamientoNode 302Node 303Random ForestLearner Random ForestPredictor X-Partitioner X-Aggregator Scorer (deprecated) Scorer (deprecated) Group Loop Start Table Row to Variable(deprecated) Variable to TableRow (deprecated) Loop End(deprecated) GroupBy DATA Scorer (JavaScript) SMOTE

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Created by: knime
Created at: 2014-06-17
On NodePit since: 2022-09-12
Last update: 2024-12-21
Created with KNIME version: v4.5.2
Tags: tree ensembleclassificationcross validationintermediate

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