Classifiers and their Metrics Quantified - Brown - 2018 - Molecular Informatics - Wiley Online Library
Performance Measures: Cohen's Kappa statistic - The Data Scientist
Pixel-based LR models prediction performance results: summary tables of... | Download Scientific Diagram
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
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose?
Receiver operating characteristic - Wikipedia
About the relationship between ROC curves and Cohen's kappa - ScienceDirect
Accurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data | Scientific Reports
LOESS fit of (a) Cohen's kappa, (b) MSE, (c) AUC, and (d) BSS for... | Download Scientific Diagram
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Results for SISA dataset. Accuracy (blue), Cohen's kappa (red), and AUC... | Download Scientific Diagram
Receiver operating characteristic - Wikipedia
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
Comparison of AUC and Cohen's kappa-values between the three criteria. | Download Scientific Diagram
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
Receiver Operating Characteristic (ROC) Area Under the Curve (AUC): A Diagnostic Measure for Evaluating the Accuracy of Predicto
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
Pharmacogenomic agreement between two cancer cell line data sets | Nature
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
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
