F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?
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
Pharmacogenomic agreement between two cancer cell line data sets | Nature
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
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
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
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
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
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
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
Results for SISA dataset. Accuracy (blue), Cohen's kappa (red), and AUC... | Download Scientific Diagram
Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library
Performance Measures: Cohen's Kappa statistic - The Data Scientist
auc - Kappa and downsampling, selection of data set - Cross Validated
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification | BioData Mining | Full Text
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
