Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents | 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_Fig3_HTML.png)
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text
Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images | PLOS ONE
![Buildings | Free Full-Text | Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction Buildings | Free Full-Text | Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction](https://pub.mdpi-res.com/buildings/buildings-12-00170/article_deploy/html/images/buildings-12-00170-g013.png?1644574616)
Buildings | Free Full-Text | Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction
![How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com](https://machinelearningmastery.com/wp-content/uploads/2019/01/Line-Plot-Showing-Learning-Curves-of-Loss-and-Accuracy-of-the-MLP-on-the-Two-Circles-Problem-During-Training.png)
How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predicto
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
![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
Using machine learning to understand age and gender classification based on infant temperament | PLOS ONE
![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/publication/353890122/figure/tbl2/AS:1056504488685568@1628901707437/Comparison-of-AUC-and-Cohens-kappa-values-between-the-three-criteria.png)
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
Pixel-based LR models prediction performance results: summary tables of... | Download Scientific Diagram
![IJERPH | Free Full-Text | Cohen’s Kappa Coefficient as a Measure to Assess Classification Improvement following the Addition of a New Marker to a Regression Model IJERPH | Free Full-Text | Cohen’s Kappa Coefficient as a Measure to Assess Classification Improvement following the Addition of a New Marker to a Regression Model](https://www.mdpi.com/ijerph/ijerph-19-10213/article_deploy/html/images/ijerph-19-10213-g001.png)