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
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack
Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning | Scientific Reports
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
Meta-analysis of gut microbiome studies identifies disease-specific and shared responses | Nature Communications
IJERPH | Free Full-Text | Accuracy of Computer-Aided Detection of Occupational Lung Disease: Silicosis and Pulmonary Tuberculosis in Ex-Miners from the South African Gold Mines
JCM | Free Full-Text | Diagnostic Ability of Peguero-Lo Presti Electrocardiographic Left Ventricular Hypertrophy Criterion in Severe Aortic Stenosis
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets | Molecular Pharmaceutics
JCM | Free Full-Text | Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
JCM | Free Full-Text | Lesion-to-Liver SUVmax Ratio to Improve the Prognostic Value of the End of Treatment PET/CT in Diffuse Large B-Cell Lymphoma
Veterinary Sciences | Free Full-Text | A Cutoff Determination of Real-Time Loop-Mediated Isothermal Amplification (LAMP) for End-Point Detection of Campylobacter jejuni in Chicken Meat
Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning | Stroke
Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis | PLOS ONE
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose? - neptune.ai
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models | Chemical Research in Toxicology
Receiver operating characteristic - Wikipedia
Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules | Scientific Reports
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
A Coefficient of Agreement for Nominal Scales - Jacob Cohen, 1960
Cohen's Kappa. Understanding Cohen's Kappa coefficient | by Kurtis Pykes | Towards Data Science
LOESS fit of (a) Cohen's kappa, (b) MSE, (c) AUC, and (d) BSS for... | Download Scientific Diagram
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
