If there are examples left but no attributes, then that means these examples have the same classification (which could be due to noise, i.e. errors in the examples). In this case the most popular ...

Supervised learning in ML trains algorithms with labelled data, where each data point has predefined outputs, guiding the learning process. ... What Are Some Examples Of Supervised Learning?

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

This week, I debated with my friend whether one should consider that Generative AI tools are created through supervised or unsupervised learning. At the end of it, I lost the debate.