Completed Workflow_​EDITED

Cleaning up of data

Classification (Decision Tree, Minimum Records per Node = 45)

Clustering k=5

Regression (Linear Regression – Target: Degradation level) Predictors: Process Temp + ToolWear

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

Regression ( Linear Regression- Target: Degradation level) Predictors : Torque

Clustering k=3

Clustering k=2

Classification (Decision Tree, Minimum Records per Node=5

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

Classification (Decision Tree, Minimum Records per Node = 30)

Regression 9Linear Regression-Target: Degradation level) Predictors: Rotational Speed + Tool Wear

Clustering k=4

3rd