PDF] Predictive Accuracy : A Misleading Performance Measure for Highly Imbalanced Data | Semantic Scholar
RDKit blog - A Ternary GHOST
RDKit blog - A Ternary GHOST
Cohen's Kappa: What It Is, When to Use It, and How to Avoid Its Pitfalls - The New Stack
EPOS™
Per-continent, box plots of the performance metrics (Balanced Accuracy... | Download Scientific Diagram
Remote Sensing | Free Full-Text | An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource
Balanced accuracy and F1 score – way to be a data scientist
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
MVPA Meanderings: balanced accuracy: what and why?
Diagnostics | Free Full-Text | A Machine Learning-Based Method for Detecting Liver Fibrosis
Cohen's Kappa: What it is, when to use it, and how to avoid its pitfalls | by Rosaria Silipo | Towards Data Science
What is the most robust binary-classification performance metric? - DataScienceCentral.com
Balanced Accuracy: When Should You Use It?
r - Calculation of Precision,Recall and F-Score with confusionMatrix - Stack Overflow
The table presents the balanced accuracy, recall, F1 score, and kappa... | Download Scientific Diagram
regression - How to calculate information included in R's confusion matrix - Cross Validated
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text
Comparison of model metrics (balanced accuracy and kappa, left and... | Download Scientific Diagram