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titanic-rf1

Workflow

Training a Random Forest

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

classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceC4.5CARTrandom forestbaggingensemble models
500 dec treesmin node size = 2Read the datasetNode 25Node 26Node 27Node 28Node 29Node 31Node 32Random ForestLearner Random ForestPredictor Scorer (JavaScript) File Reader Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics Extract TableDimension Number ToString (PMML) CSV Reader(deprecated) Partitioning JPMML Classifier CSV Writer(deprecated) Column Filter 500 dec treesmin node size = 2Read the datasetNode 25Node 26Node 27Node 28Node 29Node 31Node 32Random ForestLearner Random ForestPredictor Scorer (JavaScript) File Reader Tree EnsembleModel Extract Table to PMMLEnsemble Tree EnsembleStatistics Extract TableDimension Number ToString (PMML) CSV Reader(deprecated) Partitioning JPMML Classifier CSV Writer(deprecated) Column Filter

Download

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Resources

Nodes

titanic-rf1 consists of the following 14 nodes(s):

Plugins

titanic-rf1 contains nodes provided by the following 5 plugin(s):