Ml Evaluation

Machine learning evaluation metrics including cross-validation, ROC/AUC, precision/recall, and confusion matrix Use when this capability is needed.

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ML Evaluation

TODO: Implement full protocol

When to Use

When evaluating machine learning models or classifiers.

References

  • Hastie et al. Elements of Statistical Learning

Source: sencersoylu/scholar-flow — distributed by TomeVault.

tomevault-io/skills-registry/tree/main/sencersoylu--scholar-flow--ml-evaluation commit cfbdffce6d

Frequently asked questions

npx skillmds@latest add tomevault-io/ml-evaluation