A multi-class classification problem is one where the goal is to predict a discrete variable that has three or more possible values. For example, you might want to predict a person's political leaning ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Dual-class share structures involve two or more classes of authorized common stock, with one class having the traditional one vote (or, in the rare case of Snap, no votes) per share, and the other ...

This legislation, known as the Enhancing Multi-Class Share Disclosures Act, aims to increase transparency for companies with a multi-class share structure, particularly regarding their voting rights ...

On June 11, 2025, Vanguard filed an application with the U.S. Securities and Exchange Commission for a multi-class active ETF structure. The filing requests approval of a structure where Vanguard can ...