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Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
JCM | Free Full-Text | Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach
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3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.2.1 documentation
A Pragmatic, Data-Driven Method to Determine Cutoffs for CSF Biomarkers of Alzheimer Disease Based on Validation Against PET Imaging | Neurology
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Results for SISA dataset. Accuracy (blue), Cohen's kappa (red), and AUC... | Download Scientific Diagram
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
Receiver operating characteristic - Wikipedia
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Why Cohen's Kappa should be avoided as performance measure in classification | PLOS ONE
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F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose? - neptune.ai
Translation, reliability, and validity of Japanese version of the Respiratory Distress Observation Scale | PLOS ONE
