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


Random Forests

What are Random Forests?

Regression and classification are just two of the many tasks that may be performed with the reliable machine-learning algorithm Random Forest. It is an ensemble method, which means that a random forest model is composed of numerous little decision trees, known as estimators, each of which generates a separate set of predictions. The estimators' estimates are combined with the random forest model to yield a more precise prediction. Although they perform slightly less well for regression issues, random forests are excellent for classification difficulties. This may be taken into consideration, and the random forest generalizes well to unseen data, including unobserved data with missing values, thanks to its ensemble design. Additionally, random forests excel at managing huge datasets with high dimensionality and diverse feature types.

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!
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.