🏠 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
📖
Feature Importance in Ensembles

Mean Decrease in Impurity (MDI)

Variable importance evaluation method that measures the average reduction in impurity (Gini or entropy) brought by each feature during the construction of trees in an ensemble model.

← Back