Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
Seeking Alpha

MicroCloud Hologram Inc. Quantum Computing-Driven Multi-Class Classification Model Demonstrates Superior Performance

SHENZHEN, China, Oct. 2, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, introduced a significant development—Multi-Class ...
Morningstar

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

SHENZHEN, China, Nov. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological ...
EurekAlert!

Revisiting multi-dimensional classification from a dimension-wise perspective

The imbalance shift from one LD to another. The color map counts the number of instances over two LDs on Zappos. The numerical values annotated on the colored blocks in the figure represent values ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Decision Tree

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 ...