Essential Data Science Tips: How to Use One-Vs-Rest and One-Vs-One for Multi-Class Classification

Posted by365Data SciencePosted inData Science News
Classification, as a predictive model, involves aligning each class label to examples. Algorithms designed for binary classification cannot be applied to multi-class classification problems. For such situations, heuristic methods come in handy.

Originally from KDnuggets https://ift.tt/2XzJlb6

source https://365datascience.weebly.com/the-best-data-science-blog-2020/essential-data-science-tips-how-to-use-one-vs-rest-and-one-vs-one-for-multi-class-classification

Published by 365Data Science

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

Leave a comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Design a site like this with WordPress.com
Get started