Confusion Matrix for Multi-Class Classification - Analytics Vidhya
python - per-class validation accuracy during training - Stack Overflow
F1 Score vs ROC AUC vs Accuracy vs PR AUC: Which Evaluation Metric Should You Choose? - neptune.ai
Failure of Classification Accuracy for Imbalanced Class Distributions
arXiv:2008.05756v1 [stat.ML] 13 Aug 2020
metric - How to interpret classification report of scikit-learn? - Data Science Stack Exchange
How to Solve a Multi Class Classification Problem with Python?
Performance Measures for Multi-Class Problems - Data Science Blog: Understand. Implement. Succed.
Multi-Class Metrics Made Simple, Part I: Precision and Recall | by Boaz Shmueli | Towards Data Science
How to Calculate Precision, Recall, F1, and More for Deep Learning Models
Understanding the Classification report through sklearn – Muthukrishnan
Choosing the Right Metric for Evaluating Machine Learning Models — Part 2 | by Alvira Swalin | USF-Data Science | Medium
Multi-Class Metrics Made Simple, Part II: the F1-score | by Boaz Shmueli | Towards Data Science
how to calculate accuracy from decision trees? - Stack Overflow
Confusion Matrix for Your Multi-Class Machine Learning Model | by Joydwip Mohajon | Towards Data Science
accuracy_score: Computing standard, balanced, and per-class accuracy - mlxtend
Data preparation: The Balancing Act - CSE Developer Blog
python - How to plot the bar charts of precision, recall, and f-measure? - Data Science Stack Exchange
Confusion Matrix for Your Multi-Class Machine Learning Model | by Joydwip Mohajon | Towards Data Science
Is your Classification Model making lucky guesses? (Revolutions)
3. Evaluation Metrics | Machine Learning | python-course.eu
Performance and Prediction — H2O 3.38.0.1 documentation
