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 ...
Nature

A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data

Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene expression data face the challenges of high-dimension, small-sample, and multi-class imbalance. The ...
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 ...
Visual Studio Magazine

Multi-Class Classification Using a scikit Neural Network

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...