Visual Studio Magazine

Multi-Class Classification Using LightGBM

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch, Part 1: New Best Practices

A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Nature

Multi-label classification to predict antibiotic resistance from raw clinical MALDI-TOF mass spectrometry data

Comparative analysis of classification strategies: We evaluated the performance of four classification algorithms-MLP, SVC, RF, and XGB-across multi-label and single-label settings. The results ...
Nature

Predicting odor from molecular structure: a multi-label classification approach

For decades, scientists from various disciplines have been searching for an olfactory classification system on a psychological or physiochemical basis 1. A robust model that can accurately predict ...