An intuition for AUC and Harrell’s C

An Intuition for AUC and Harrell's CA graphical approachPhoto by author

Everyone venturing into the realm of machine learning or predictive modeling comes across the concept of model performance testing. Textbooks usually differ only in what the reader learns first: regression with its MSE (mean standard error) or classification with a plethora of performance indicators, like accuracy, sensitivity, or precision, to name

Read more

Related Posts

• What is Adam Optimizer?a
• Top Predictive Analytics Tools/Platforms (2023)a
• Scikit-learn for Machine Learning Cheat Sheeta
• Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. (arXiv:2210.03505v3 [cs.LG] UPDATED)a
• Introduction to Ranking Algorithmsa