Web Scraping Dictionary
Learn about Web Scraping terms and what they mean.
Web Scraping
Other scraping terms...
What's Piloterr?
Contact us
Definition updated on July 2023

🎲

Naive Bayes

What is Naive Bayes?

The Naive-Bayes algorithm is a supervised learning method for classification issues that is based on the Bayes theorem. Simply expressed, a Naive Bayes classifier assumes that the existence of one feature in a class has no bearing on the presence of any more features. A well-liked supervised machine learning approach for classification applications like text classification is the Naive Bayes classifier. It is a member of the family of generative learning algorithms and simulates the input distribution for a particular class or category. This method is predicated on the idea that given the class, the properties of the input data are conditionally independent, enabling the algorithm to predict outcomes rapidly and precisely. Simple probabilistic classifiers that use Bayes' theorem are referred to as naive Bayes classifiers. Based on the information available and some prior knowledge, this theorem calculates the likelihood of a hypothesis. Predicting the class of the test data set is simple and quick. Additionally, multi-class prediction shows good results.

Learn more Web Scraping terms:

-
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Sign up now and enjoy an exclusive 100 requests for free
Pssss... You can contact us to get 2,000 requests!
FlashSERP
Try the easiest API web scraping tool
Leverage the full potential of web data through easy-to-use APIs. Trusted by +10 market leaders!
By clicking “Accept”, you agree to the storing of cookies to enhance site navigation and analyze site usage. View our Privacy Policy for more information.