How to Assess Machine Learning Models: AUC, F1 and more (clearly explained) // #6 of ML for Health скачать в хорошем качестве

How to Assess Machine Learning Models: AUC, F1 and more (clearly explained) // #6 of ML for Health

For a machine learning model to have a positive impact in healthcare, it needs to both perform well and to have a positive impact once integrated into clinical workflows. In this video, we talk about how we can quantify the performance of machine learning models - for use in healthcare or otherwise. This is the sixth video in the machine learning for healthcare series. TIMESTAMPS 1:28 - The confusion matrix 3:09 - The extended confusion matrix 3:54 - Recall, precision and the F1 score 6:28 - Understanding the AUC 12:08 - Metrics for regression tasks LINKS Extended confusion matrix: https://lukeoakdenrayner.files.wordpr... Understanding AUC:    • ROC Curves and Area Under the Curve (AUC) ...   Helpful ROC curve diagram: http://www.navan.name/roc/ Luke Oakden Rayner blog: https://lukeoakdenrayner.wordpress.co... R squared (metric for regression):    • R-squared or coefficient of determination ...   MACHINE LEARNING FOR HEALTHCARE SERIES: 1. Course outline + why learn about AI/ML:    • Course Launch: Machine Learning for Health...   2. What is ML and why healthcare?:    • What is Machine Learning and Why Healthcar...   3. How does an ML model LEARN?:    • How does a machine learning model LEARN? /...   4. What happens in a neural network?:    • What Happens in a Neural Network? (buildin...   5. What is Deep Learning and how it will change healthcare:    • The Fundamentals of Deep Learning + How It...   6. How to assess machine learning models:    • How to Assess Machine Learning Models: AUC...   7. How to ensure positive clinical impact (THIS VIDEO):    • Ensuring a Positive Clinical Impact with M...   8. How to read a machine learning paper:    • How to Read a Machine Learning Paper // ML...   9. Getting started, next steps and recommended resources:    • How to Get Started with Machine Learning +...   WHO AM I? I'm Chris Lovejoy, a data scientist and junior doctor based in London. I make videos about data science/machine learning, medicine, productivity, careers, and anything else that's on my mind. GET IN TOUCH Feel free to drop a comment on one of my YouTube videos or follow me on Instagram and send me a DM. If you have a longer question, drop me an email at [email protected] 🤔 Get a free 2 months of SkillShare: https://skillshare.eqcm.net/zK1Je 📘 Get a free copy of my book on study tips: https://chrislovejoy.me/mmsm-free 🤳 Instagram -   / chris.lj   🐦 Twitter -   / @chrislovejoy_   📹 Subscribe to my channel - https://bit.ly/2TGEhk1 ✍️ My weekly email newsletter - https://chrislovejoy.substack.com