SVM_Workflow_γ and σ fine-tuning

This workflow shows how to utlize the parameter optimization methodology for varying the c-param and sigma-value for radio base function (rbf) in SVM ML application. KNIME node generally offers the sigma parameter for optimization while the c-param is available as a flow variable and is not directly visible. The approach has been adopted basis the approach mentioned for running SVM in Python as part of the Udemy course.

External resources

• 01-Support Vector Machines with Python.ipynb