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Found 2 papers, 1 papers with code
On Efficient and Statistical Quality Estimation for Data Annotation
Basing estimates on small sample sizes, however, can lead to imprecise values for the error rate.
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels
The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances.
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