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BESTWORKFLOW

Cleaning up of data

3rd

Classification( Decision Tree, Minimum Records per Node = 15)

Regression (Linear Regression-Target: Degradation level) Predictors: Torque + tool wear + rotational speed

Clustering k=5

Parallel Coordinates Plot
Remove Kfrom Air Temp
String Manipulation
Remove rpmfrom Rotational Speed
String Manipulation
Change Air Temp and Rotational Speed to Number
String to Number
Change Process Temp& Rotational Speedto Mean (Missing Values)
Missing Value
Clean Up data(Change Machine to String)
CSV Reader
Column Filter
Assign colors to clusters
Color Manager
Exclude "Type" &" failure Type "
Column Filter
Scatter Plot
Torque + Tool Wear + Rotational Speed
Linear Regression Learner
Color Manager
Branch 3 - Regression80% Training20% TestingSeed: 12345
Table Partitioner
Evaluate Model
Numeric Scorer
Evaluate
Scorer
Clean Up data(Change Machine to String)
CSV Reader
Predict degradation
Regression Predictor
Decision Tree Learner
Normalise data
Normalizer
Denormalizer
Predict
Decision Tree Predictor
k-Means (deprecated)
Branch 2 - Classification80% Training20% TestingSeed: 12345
Table Partitioner
CSV Reader

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: joshl
Created at: 2026-08-06
On NodePit since: 2026-08-09
Last update: 2026-08-09
Created with KNIME version: v5.11.0

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