HF RL Explorer

Task: Tune Random Forest Parameters for Feature Importance Optimization

Task: Tune Random Forest Parameters for Feature Importance Optimization: a task in Terminal-Lego-15k (Harbor dataset). Write a Python script that demonstrates how to tune parameters in a Random Forest classifier (using scikit-learn) to optimize and stabilize feature importance rankings…

The task

Write a Python script that demonstrates how to tune parameters in a Random Forest classifier (using scikit-learn) to optimize and stabilize feature importance rankings, particularly in a scenario with very few samples and many features.

Part of PrimeIntellect/Terminal-Lego-15k.