Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Receiver operating characteristic - Wikipedia
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data Sets | Molecular Pharmaceutics
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack
Receiver operating characteristic - Wikipedia
Pharmacogenomic agreement between two cancer cell line data sets | Nature
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
How to Calculate Precision, Recall, F1, and More for Deep Learning Models - MachineLearningMastery.com
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? - neptune.ai
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
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
Performance Measures: Cohen's Kappa statistic - The Data Scientist
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose? - neptune.ai
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) - ALLOUCHE - 2006 - Journal of Applied Ecology - Wiley Online Library
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
