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
Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets | Molecular Pharmaceutics
Results for SISA dataset. Accuracy (blue), Cohen's kappa (red), and AUC... | Download Scientific Diagram
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?
LOESS fit of (a) Cohen's kappa, (b) MSE, (c) AUC, and (d) BSS for... | Download Scientific Diagram
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
Accurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data | Scientific Reports
Buildings | Free Full-Text | Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text
Pharmacogenomic agreement between two cancer cell line data sets | Nature
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents | PLOS ONE
Receiver operating characteristic - Wikipedia
Pixel-based LR models prediction performance results: summary tables of... | Download Scientific Diagram
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Plants | Free Full-Text | Prediction of the Potential Distribution of the Endangered Species Meconopsis punicea Maxim under Future Climate Change Based on Four Species Distribution Models
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?
