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TDOD_​PROJECT_​REGRESSION_​backup

Missing Value (Apply)
CSV Reader
Continuous numeric (Z-Score)
Normalizer
Feature Engeneering
Outlier Test
String to Number
Box Plot
Random Forest Learner (Regression)
Rule Engine
Ordinal numeric (Min Max)
Normalizer
Table Partitioner
Number to String
Numeric Variables
Statistics View
Feature Engeneering Test
Categorical Variables
Statistics View
Column Filter
Numeric Scorer
Gradient Boosted Trees Learner (Regression)
Random Forest Predictor (Regression)
Box Plot
Gradient Boosted Trees Predictor (Regression)
Normalizer (Apply)
Numeric Scorer
Ordinal features to number
Rule Engine
One to Many
Normalizer (Apply)
Joiner
Joiner
Column Appender
Column Filter
Column Filter
CSV Reader
Reference Column Filter
Column Filter
Filter Target Variable
Column Filter
Feature Selection Loop Start (1:1)
Reference Column Filter
Random Forest Predictor (Regression)
Ordinal features to number
Rule Engine
Constant Value Column Appender
Ordinal, dummy variables
Column Filter
Continuous Variables
Column Filter
Column Appender
Column Filter
Outliers Treatment
Linear Correlation
Normalizer (Apply)
Normalizer (Apply)
Low Variance Filter
Missing Value (Apply)
Correlation Filter
One to Many
Regression Predictor
One to Many
Linear Regression Learner
Missing Value
Reference Column Filter
CSV Writer
Numeric Scorer
Regression Predictor
Linear Regression Learner
Feature Selection Filter
Numeric Scorer
Feature Selection Loop End

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: u86906
Created at: 2026-06-12
On NodePit since: 2026-06-15
Last update: 2026-06-23
Created with KNIME version: v5.11.0

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