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
ROC analysis showing the AUC for SIRT1 (a), SIRT3 (b) and SIRT6 (c) to... | Download Scientific Diagram
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
Model's AUC, accuracy, F1 score, and kappa averages. | Download Scientific Diagram
Diagnostics | Free Full-Text | Kappa Index versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders
Area under the curve (AUC) between optical spectral transmission (OST)... | Download Scientific Diagram
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
Importance of Mathews Correlation Coefficient & Cohen's Kappa for Imbalanced Classes | by Sarit Maitra | Medium
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
ROC and AUC, Clearly Explained! - YouTube
Frontiers | High Levels of Cerebrospinal Fluid Kappa Free Light Chains Relate to IgM Intrathecal Synthesis and Might Have Prognostic Implications in Relapsing Multiple Sclerosis
Receiver operating characteristic - Wikipedia
auc - Kappa and downsampling, selection of data set - Cross Validated
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predicto
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 10-fold cross-validation performance in terms of maximum kappa... | Download Scientific Diagram
JPM | Free Full-Text | Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit
AUC vs. number of utilized features. Increasing number of features has... | Download Scientific Diagram
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Kappa statistic (kappa) and area under the ROC curve (AUC) values... | Download Scientific Diagram
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text