HF RL Explorer

Task: Implement Balanced Subsampling for Imbalanced Datasets

Task: Implement Balanced Subsampling for Imbalanced Datasets: a task in Terminal-Lego-15k (Harbor dataset). Create a Python script that generates N balanced random subsamples from a large imbalanced dataset using scikit-learn and/or pandas. Each subsample should contain an equal number of samples…

The task

Create a Python script that generates N balanced random subsamples from a large imbalanced dataset using scikit-learn and/or pandas. Each subsample should contain an equal number of samples from each class, enabling their use in an ensemble of classifiers.

Part of PrimeIntellect/Terminal-Lego-15k.