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KNIME_​predictive_​analysis

Excel Reader
create column Subscriber
Rule Engine
predictor B
MultiLayerPerceptron Predictor
Number to String
Separation of training and validation data
Table Partitioner
gain ratio | min 10
Decision Tree Learner
predictor A
Decision Tree Predictor
gain index | min 12
Decision Tree Learner
1 hiden layer
RProp MLP Learner
Scorer
Chosen Model
Scorer
ROC Curve
Scorer
Scorer
ROC Curve
Lift Chart (JavaScript) (legacy)
ROC Curve
ROC Curve
Lift Chart (JavaScript) (legacy)
String to Number
Lift Chart (JavaScript) (legacy)
Lift Chart (JavaScript) (legacy)
predictor B
Decision Tree Predictor
remove redundant correlation values >0.9
Correlation Filter
total campaign profit
GroupBy
Normalizer
Table Partitioner
mass campaign cenario
Rule Engine
Linear Correlation
Column Filter
treat missing value with mean
Missing Value
profit per costumer
Rule Engine
3 hiden layers
RProp MLP Learner
Predictor A
MultiLayerPerceptron Predictor
total mass campaign profit
GroupBy
Column Filter
Excel Writer

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: mariajoao
Created at: 2026-05-28
On NodePit since: 2026-05-30
Last update: 2026-05-30
Created with KNIME version: v5.11.0

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