metrics.help
Machine learning training metrics explained
Machine learning metrics and algorithms, explained. A simple math-free resource to learn about the different ML training metrics, including: - Simple definitions and explanations - Visualizations for healthy and unhealthy progressions - Deep dive into reinforcement learning algorithms
Reviews
The website is beautifully designed! Each metric has clear visual examples, intuitive explanations, and practical use cases. Easy to navigate.
Clean educational site design. Each metric page is well-structured with definitions, examples, and when to use it.
Useful ML education resource. The plain English explanations demystify complex metrics for non-experts.
Great educational site! Would love to see interactive calculators where you can input confusion matrices and see metrics calculated live.
metrics.help is perfect for learning ML evaluation! I'm a data scientist and always struggled with explaining metrics to non-technical stakeholders. This site explains precision, recall, F1, AUC-ROC, RMSE - all the key metrics - in plain English with visual examples. No complex math formulas, just intuitive explanations. I bookmarked it and share it with junior data scientists regularly. The comparison sections (when to use precision vs recall) are incredibly helpful. This is the ML metrics resource I wish existed when I was learning! 🚀
Solid ML education resource. The math-free explanations make metrics accessible to beginners and non-technical team members.
Perfect for ML beginners and stakeholders! The visual explanations of precision vs recall with real examples (spam detection, disease screening) make abstract concepts concrete. I sent this to our product team and they finally understand why we choose certain metrics. The comparison guides are excellent. Free and incredibly valuable! ✨
Great content but one of the visualizations didn't load properly on mobile. Desktop version works perfectly.
Indie maker | Design enthusiast
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