🏠 Home
Benchmark Hub
📊 All Benchmarks 🦖 Dinosaur v1 🦖 Dinosaur v2 ✅ To-Do List Applications 🎨 Creative Free Pages 🎯 FSACB - Ultimate Showcase 🌍 Translation Benchmark
Models
🏆 Top 10 Models 🆓 Free Models 📋 All Models ⚙️ Kilo Code
Resources
💬 Prompts Library 📖 AI Glossary 🔗 Useful Links
📖
Global interpretability methods

ICE (Individual Conditional Expectation)

Individual Conditional Expectation plots the model's predictions for each observation by varying a specific feature, revealing the heterogeneity of effects that PDP can mask. This method shows how predictions change for each instance individually.

← Back