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Deep learning-based classification of primary bone tumors on radiographs: A  preliminary study - eBioMedicine
Deep learning-based classification of primary bone tumors on radiographs: A preliminary study - eBioMedicine

About the relationship between ROC curves and Cohen's kappa - ScienceDirect
About the relationship between ROC curves and Cohen's kappa - ScienceDirect

Receiver operating characteristic - Wikipedia
Receiver operating characteristic - Wikipedia

Pixel-based LR models prediction performance results: summary tables of...  | Download Scientific Diagram
Pixel-based LR models prediction performance results: summary tables of... | Download Scientific Diagram

Classifiers and their Metrics Quantified - Brown - 2018 - Molecular  Informatics - Wiley Online Library
Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library

GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in  Machine Learning | Journal of Chemical Information and Modeling
GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning | Journal of Chemical Information and Modeling

Pharmacogenomic agreement between two cancer cell line data sets | Nature
Pharmacogenomic agreement between two cancer cell line data sets | Nature

About the relationship between ROC curves and Cohen's kappa - ScienceDirect
About the relationship between ROC curves and Cohen's kappa - ScienceDirect

LOESS fit of (a) Cohen's kappa, (b) MSE, (c) AUC, and (d) BSS for... |  Download Scientific Diagram
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 -  The New Stack
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack

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?

The advantages of the Matthews correlation coefficient (MCC) over F1 score  and accuracy in binary classification evaluation | BMC Genomics | Full Text
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text

Hybrid feature selection-based machine learning Classification system for  the prediction of injury severity in single and multiple-vehicle accidents  | PLOS ONE
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents | PLOS ONE

Wilcoxon test for the AUC and Cohen's kappa on unbalanced data sets. |  Download Table
Wilcoxon test for the AUC and Cohen's kappa on unbalanced data sets. | Download Table

Why Cohen's Kappa should be avoided as performance measure in  classification | PLOS ONE
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE

Using machine learning to understand age and gender classification based on  infant temperament | PLOS ONE
Using machine learning to understand age and gender classification based on infant temperament | PLOS ONE

auc - Kappa and downsampling, selection of data set - Cross Validated
auc - Kappa and downsampling, selection of data set - Cross Validated

Translation, reliability, and validity of Japanese version of the  Respiratory Distress Observation Scale | 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
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 |  by Rosaria Silipo | Towards Data Science
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
Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predicto

Why Cohen's Kappa should be avoided as performance measure in  classification | 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
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram