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 ...
A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
Please provide your email address to receive an email when new articles are posted on . Use of the Envisia Genomic Classifier impacted physician decision-making for evaluation of interstitial lung ...
Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions
Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values. This is the second of ...
Multicentric randomized phase II trial of gamma knife surgery (GKS) versus image-guided, intensity-modulated radiation therapy (IG-IMRT) in patients with sacrococcygeal chordoma. This is an ASCO ...
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A new way to test how well AI systems classify text
Is this movie review a rave or a pan? Is this news story about business or technology? Is this online chatbot conversation veering off into giving financial advice? Is this online medical information ...
Pediatric sarcomas provide a unique diagnostic challenge. There is considerable morphologic overlap between entities, increasing the importance of molecular studies in the diagnosis, treatment, and ...
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