Receiver operating characteristic
A receiver operating characteristic curve, or ROC curve, is a graphical plot that illustrates the performance of a binary classifier model (although it can be generalized to multiple classes) at varying threshold values. ROC analysis is commonly applied in the assessment of diagnostic test performance in clinical epidemiology.
Receiver operating characteristic - Wikipedia Jump to content From Wikipedia, the free encyclopedia Diagnostic plot of binary classifier ability This article needs more citations . Please help improve this article by adding citations to reliable sources . Unsourced material may be challenged and removed . Find sources: "Receiver operating characteristic" – news · newspapers · books · scholar · JSTOR ( September 2023 ) ( Learn how and when to remove this message ) ROC curve of three predictors of peptide cleaving in the proteasome A receiver operating characteristic curve , or ROC curve , is a
Explore this link on the map →related reading
- Precision-Recall Curve is more informative than ROC in imbalanced data | Towards Data Sciencetowardsdatascience.com
- Classificationfairmlbook.org
- Sensitivity and specificity - Wikipediaen.wikipedia.org
- Fundamentals of predictionmlstory.org
- Berkson's paradox - Wikipediaen.wikipedia.org
- Statistical Fairness - Turing Commonsalan-turing-institute.github.io
- What Is Logistic Regression? | IBMibm.com
- Classification vs. Prediction – Statistical Thinkingfharrell.com
- terminology - F1/Dice-Score vs IoU - Cross Validatedstats.stackexchange.com
- Learning curve - Wikipediaen.wikipedia.org
- A Course in Machine Learningciml.info
- Interestingness First Classifiers | Data Processing Clubdata-processing.club