Icon

titanic-boostedtrees

Boosted trees on Titanic dataset

Training boosted trees

A boosted forest of 500 decision trees Read the train dataNode 25Node 26Read the test dataNode 28Node 29Node 31Node 32Node 33Node 34Node 35 Scorer (JavaScript) File Reader Extract TableDimension Number ToString (PMML) CSV Reader(deprecated) Partitioning JPMML Classifier CSV Writer(deprecated) Column Filter Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Gradient BoostedTrees to PMML A boosted forest of 500 decision trees Read the train dataNode 25Node 26Read the test dataNode 28Node 29Node 31Node 32Node 33Node 34Node 35 Scorer (JavaScript) File Reader Extract TableDimension Number ToString (PMML) CSV Reader(deprecated) Partitioning JPMML Classifier CSV Writer(deprecated) Column Filter Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Gradient BoostedTrees to PMML

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: 2020-12-07
Last update: 2024-04-18
Created with KNIME version: v4.3.0
Tags: classificationmachine learningpredictionanalyticsKNIMEdecision treedata scienceCARTbaggingensemble 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!