MVPA Meanderings: balanced accuracy: what and why?
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack
Remote Sensing | Free Full-Text | An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource
Evaluation of binary classifiers - Wikipedia
12.3 Balanced Accuracy (L12 Model Eval 5: Performance Metrics) - YouTube
What is balanced accuracy? | Statistical Odds & Ends
RDKit blog - A Ternary GHOST
Precision and recall - Wikipedia
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation | BioData Mining | Full Text
Performance metrics for binary classifier (in simple words) | by Irene P | Towards Data Science
EPOS™
Balanced Accuracy: When Should You Use It?
6 More Evaluation Metrics Data Scientists Should Be Familiar with — Lessons from A High-rank Kagglers' New Book | by Moto DEI | Towards Data Science
classification - Cohen's kappa in plain English - Cross Validated
Fair evaluation of classifier predictive performance based on binary confusion matrix | Computational Statistics
Per-continent, box plots of the performance metrics (Balanced Accuracy... | Download Scientific Diagram
RDKit blog - A Ternary GHOST
Balanced accuracy score, recall score, and AUC score with different... | Download Scientific Diagram
Hilab System versus Sysmex XE-2100 accuracy, specificity, sensitivity,... | Download Scientific Diagram
Balanced accuracy and F1 score – way to be a data scientist
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
17 Measuring Performance | The caret Package
