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Assignment 4 CART

CSV Reader
Column Filter
Parameter Optimization Loop End
Table Partitioner
Number to String
Decision Tree Learner
Decision Tree Predictor
Scorer
Table Partitioner
Parameter Optimization Loop Start
Scorer
Parameter Optimization Loop End
AdaBoostM1 (3.7)
Weka Predictor (3.7)
Train Decision Tree(C4.5) withmin_leaf_size asflow variable
Decision Tree Learner
PartitionLending-club datainto 70% trainingand 30% test sets
Table Partitioner
End parameteroptimization loopand select bestmin_leaf_size
Parameter Optimization Loop End
Start parameteroptimization loopfor min_leaf_size
Parameter Optimization Loop Start
Table Partitioner
Apply Decision Treemodel to test set
Decision Tree Predictor
Score predictions ontest set
Scorer
Random Forest Predictor
Scorer
Parameter Optimization Loop Start
Random Forest Learner

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: chrisbarresi
Created at: 2026-04-27
On NodePit since: 2026-04-30
Last update: 2026-04-30
Created with KNIME version: v5.11.0

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