Icon

09_​Random_​Forest

Training a Decision Tree
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) File Reader Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics 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) File Reader Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: kathrinmelcher
Created at: 2017-09-14
On NodePit since: 2021-06-28
Last update: 2024-11-17
Created with KNIME version: v4.0.0
Tags: classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceC4.5CARTrandom forestbaggingensemble models

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!