![Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine](https://www.thelancet.com/cms/asset/8e44a4db-40f3-45ab-b7c1-3b1073dcf371/gr1.jpg)
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
Pixel-based LR models prediction performance results: summary tables of... | Download Scientific Diagram
![Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/5124687b-ec90-4bda-84b0-19d29d9f23e7/minf201700127-toc-0001-m.jpg)
Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling
![The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12864-019-6413-7/MediaObjects/12864_2019_6413_Fig2_HTML.png)
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents | PLOS ONE
Using machine learning to understand age and gender classification based on infant temperament | PLOS ONE
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
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/tbl2/AS:1056504488685568@1628901707437/Comparison-of-AUC-and-Cohens-kappa-values-between-the-three-criteria_Q320.jpg)