![The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library](https://besjournals.onlinelibrary.wiley.com/cms/asset/0e1ccb20-e544-40e4-a745-0b06e94033ce/mee313140-fig-0001-m.jpg)
The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library
![JPM | Free Full-Text | Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit JPM | Free Full-Text | Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit](https://www.mdpi.com/jpm/jpm-11-00695/article_deploy/html/images/jpm-11-00695-g004.png)
JPM | Free Full-Text | Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit
![Area under the curve (AUC) between optical spectral transmission (OST)... | Download Scientific Diagram Area under the curve (AUC) between optical spectral transmission (OST)... | Download Scientific Diagram](https://www.researchgate.net/publication/283316896/figure/fig4/AS:613972986306593@1523393975950/Area-under-the-curve-AUC-between-optical-spectral-transmission-OST-and.png)
Area under the curve (AUC) between optical spectral transmission (OST)... | Download Scientific Diagram
Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predicto
![Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram](https://www.researchgate.net/profile/Ryo-Kurokawa/publication/353890122/figure/tbl1/AS:1056504488660992@1628901707394/RT-PCR-positive-and-negative-rates-for-each-category_Q320.jpg)
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
a) Plot of AUC vs size of * U on synthetic datasets. The size of * U... | Download Scientific Diagram
![AUC vs. number of utilized features. Increasing number of features has... | Download Scientific Diagram AUC vs. number of utilized features. Increasing number of features has... | Download Scientific Diagram](https://www.researchgate.net/publication/318711615/figure/fig2/AS:559896468307968@1510501128967/AUC-vs-number-of-utilized-features-Increasing-number-of-features-has-only-a-marginal.png)
AUC vs. number of utilized features. Increasing number of features has... | Download Scientific Diagram
![Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram](https://www.researchgate.net/profile/Ryo-Kurokawa/publication/353890122/figure/tbl2/AS:1056504488685568@1628901707437/Comparison-of-AUC-and-Cohens-kappa-values-between-the-three-criteria_Q320.jpg)
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
![The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library](https://besjournals.onlinelibrary.wiley.com/cms/asset/cd852e8a-9be0-41aa-b564-a638d870dd19/mee313140-tbl-0001-m.jpg)
The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library
![Plasma concentration area under the curve (AUC) predicts tissue drug... | Download Scientific Diagram Plasma concentration area under the curve (AUC) predicts tissue drug... | Download Scientific Diagram](https://www.researchgate.net/publication/324731056/figure/fig7/AS:619136656871427@1524625090838/Plasma-concentration-area-under-the-curve-AUC-predicts-tissue-drug-uptake-A-AUC-was.png)
Plasma concentration area under the curve (AUC) predicts tissue drug... | Download Scientific Diagram
![Diagnostics | Free Full-Text | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders Diagnostics | Free Full-Text | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders](https://www.mdpi.com/diagnostics/diagnostics-10-00856/article_deploy/html/images/diagnostics-10-00856-g001-550.jpg)
Diagnostics | Free Full-Text | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders
![Frontiers | High Levels of Cerebrospinal Fluid Kappa Free Light Chains Relate to IgM Intrathecal Synthesis and Might Have Prognostic Implications in Relapsing Multiple Sclerosis Frontiers | High Levels of Cerebrospinal Fluid Kappa Free Light Chains Relate to IgM Intrathecal Synthesis and Might Have Prognostic Implications in Relapsing Multiple Sclerosis](https://www.frontiersin.org/files/MyHome%20Article%20Library/827738/827738_Thumb_400.jpg)
Frontiers | High Levels of Cerebrospinal Fluid Kappa Free Light Chains Relate to IgM Intrathecal Synthesis and Might Have Prognostic Implications in Relapsing Multiple Sclerosis
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
![The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13040-023-00322-4/MediaObjects/13040_2023_322_Fig8_HTML.png)
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text
![ROC analysis showing the AUC for SIRT1 (a), SIRT3 (b) and SIRT6 (c) to... | Download Scientific Diagram ROC analysis showing the AUC for SIRT1 (a), SIRT3 (b) and SIRT6 (c) to... | Download Scientific Diagram](https://www.researchgate.net/publication/357659694/figure/fig2/AS:1127928049995776@1645930411176/ROC-analysis-showing-the-AUC-for-SIRT1-a-SIRT3-b-and-SIRT6-c-to-distinguish-AD-vs.png)