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titanic-rf4

Random Forest including tuning (parameter optimization) and CV

Read the train dataNode 25Node 26mtry as tuning paramstart cv loopNode 29Node 30end cv loopNode 32end tuning loopNode 34Node 35Node 36Node 37read test dataNode 39Node 40Node 41File Reader Extract TableDimension Number ToString (PMML) Parameter OptimizationLoop Start X-Partitioner Random ForestLearner Random ForestPredictor X-Aggregator Statistics ParameterOptimization Loop End Table Row to Variable(deprecated) Table Row to Variable(deprecated) Random ForestLearner Random ForestPredictor CSV Reader(deprecated) Number To String Column Filter CSV Writer(deprecated) Read the train dataNode 25Node 26mtry as tuning paramstart cv loopNode 29Node 30end cv loopNode 32end tuning loopNode 34Node 35Node 36Node 37read test dataNode 39Node 40Node 41File Reader Extract TableDimension Number ToString (PMML) Parameter OptimizationLoop Start X-Partitioner Random ForestLearner Random ForestPredictor X-Aggregator Statistics ParameterOptimization Loop End Table Row to Variable(deprecated) Table Row to Variable(deprecated) Random ForestLearner Random ForestPredictor CSV Reader(deprecated) Number To String Column Filter CSV Writer(deprecated)

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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: sebastiansaueruser
Created at: 2020-12-05
On NodePit since: 2020-12-07
Last update: 2024-12-17
Created with KNIME version: v4.3.0
Tags: random forestensembleclassificationtreecartknimemachine learning

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