Visual Studio Magazine

Multi-Class Classification Accuracy by Class Using PyTorch

Dr. James McCaffrey of Microsoft Research: When multi-class data is skewed toward one or more classes, it's very important to analyze accuracy by class. A multi-class classification problem is one ...
Forbes

Is It Possible to Fool a Classifier When Programming?

How can existing classification models be fooled? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better understand the world. There ...
ascopubs.org

DNA Methylation–Based Classifier for Accurate Molecular Diagnosis of Bone Sarcomas

DNA methylation status of 482,421 CpG sites in 10 Ewing sarcoma, 11 synovial sarcoma, and 15 osteosarcoma samples were determined using the Illumina Infinium HumanMethylation450 array. We developed a ...
Nature

Testing the accuracy of an observation-based classifier for rapid detection of autism risk

Due to the significant amount of genetic heterogeneity that underlies autism spectrum disorder (ASD), autism is primarily diagnosed through behavioral evaluations. Current diagnostic instruments have ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Model Accuracy

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...