Machine Learning Fundamentals - Classification Metrics References

Lesson references

For supplemental reading material on this topic, check out the following resources:

• Scikit Learn documentation on classification metrics
• Good Twitter Thread on AUC ROC
• .gif of ROC Curve with Distributions
• Scikit Learn Documentation of AUC_ROC_Score
• DSI-NYC Instructional Associate & Alumna Ashley Mighty - Imbalanced Classes Repo
• Medium Article on Classification Model Evaluation through AUC ROC
• Elite Data Science: How to Handle Imbalanced Classes in Machine Learning
• Scikit Learn Documentation for Stratified k-Fold Cross-Validation
• Gary King: Logistic Regression in Rare Events Data
• Gary King: Webpage on Rare Event Data
• Extreme Value Theory