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09_​Random_​Forest

Training a Random Forest

Training a decision tree and training a random forest of decision trees.

Decision Tree and Random Forest of Decision TreesTraining a decision tree and training a random forest of decision trees.Adult.csv dataset describes US census information. Output class is sex. One decision tree to predict feature sex on the adult dataset A random forest of 50 decision trees to predict feature sex on the adultdataset Optional Export into PMML 80% for training 20 % for testing1 dec treemin. node size = 250 dec treesmin node size = 2Read the dataset Partitioning DecisionTree Learner Decision TreePredictor Decision Tree View Random ForestLearner Random ForestPredictor Scorer (JavaScript) Scorer (JavaScript) Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics CSV Reader Decision Tree and Random Forest of Decision TreesTraining a decision tree and training a random forest of decision trees.Adult.csv dataset describes US census information. Output class is sex. One decision tree to predict feature sex on the adult dataset A random forest of 50 decision trees to predict feature sex on the adultdataset Optional Export into PMML 80% for training 20 % for testing1 dec treemin. node size = 250 dec treesmin node size = 2Read the dataset Partitioning DecisionTree Learner Decision TreePredictor Decision Tree View Random ForestLearner Random ForestPredictor Scorer (JavaScript) Scorer (JavaScript) Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics CSV Reader

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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: kathrinmelcher
Created at: 2017-09-14
On NodePit since: 2019-07-18
Last update: 2024-04-16
Created with KNIME version: v4.6.2
Tags: classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceC4.5CARTrandom forestbaggingensemble modelsOnboardingData Science

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