What is a model?
How Can We Help?
< All Topics

What is a model?

In AI Studio we use the term model to refer to a single decision tree-like model when we cite it specifically, and a predictive model when we refer to it in general.

To build a model, you need to start from a dataset. The model will extract the existing patterns or rules found in your dataset and, using these rules, your model will predict the value of the objective field for new instances where this value is unknown.

To learn more about models, please:

Watch this video for a gentle introduction to models. This demo showcases what a model is, how to create it, and interpret the results.

Previous FAQ How can I improve the confidence of my model?
Next FAQ What method is used to calculate field importance for the AI Studio models and ensembles?
type your search
Get in touch with us.
Our team is here to help you!

CONTACT INFO

For general inquiries:
hypersense@subex.com

For Media Relations:
sandeep.banga@subex.com

For Investor Relations: investorrelations@subex.com

For Careers:
jobs@subex.com
scroll-up

Before you go, can you please answer a question for us?