The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
Hi All
I am using naive bayes alogirthm for my classification problem.I would like to know the most influential parameters in my input features.Could you please help me how to extract the weights from naive bayes.
Regard,
Vishnu
It would be the difference between "valid" and "not valid" (which I assume are your two classes). Note that your model input attributes should be normalized first in order to make this comparison if they are numerical.
In the NB model output, there is a distribution table with the values for your classes. Take the difference of those classes, and the ones with the largest difference generally have the highest weights.
You can also use the new "Explain Predictions" operator to explore more specifically the significant factors for individual cases and get a sense of model sensitivity. That operator has a tutorial process available to understand how to use it.
If you have access to Auto Model, that also has a dynamic interface for exploring model factors.
@Telcontar120 it is binary classification problem.For each categorical variables values i got some numbers as you can see in the attached screen shot. which values i neet to use for calculation?
@Telcontar120 it is binary classification problem.For each categorical variables values i got some numbers as you can see in the attached screen shot. which values i need to use for calculation?
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
