Mgfrantz Roc Auc Macro

Compute mgfrantz/roc_auc_macro via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of mgfrantz/roc_auc_macro.

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mgfrantz-roc-auc-macro

Metric mgfrantz/roc_auc_macro from the HuggingFace evaluate library.

When to invoke

User asks to compute mgfrantz/roc_auc_macro or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("mgfrantz/roc_auc_macro")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house mgfrantz/roc_auc_macro matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

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Frequently asked questions

npx skillmds add qhjqhj00/mgfrantz-roc-auc-macro