Pablodiegoo Data Pro Skill Machine Learning Lite

Machine Learning Lite

tomevault-io Updated

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Machine Learning Lite

This skill restricts the agent to using simple, highly interpretable Machine Learning methods focused on inference rather than production deployment. Deep learning or black-box predictions are strictly out of scope.

Core Capabilities

1. Interpretability & Testing

  • permutation_feature_importance.py: Calculates the true model importance of variables by randomly shuffling them.
  • permutation_test_utilities.py: Rigorous statistical testing without assuming underlying data distributions.

Guidelines

  • Always prefer Random Forest or Logistic Regression for feature extractability.
  • If classes are highly skewed, refer to references/imbalanced_data_strategies.md.

Source: pablodiegoo/Data-Pro-Skill — distributed by TomeVault.

tomevault-io/skills-registry/tree/main/pablodiegoo--data-pro-skill--machine-learning-lite commit d1fa102d34

Frequently asked questions

npx skillmds@latest add tomevault-io/pablodiegoo-data-pro-skill-machine-learning-lite