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Mdocekal Precision Recall Fscore Accuracy

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

qhjqhj00 09ccdc5 1006 B Updated 3 repo stars
AI & ML

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mdocekal-precision-recall-fscore-accuracy

Metric mdocekal/precision_recall_fscore_accuracy from the HuggingFace evaluate library.

When to invoke

User asks to compute mdocekal/precision_recall_fscore_accuracy or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house mdocekal/precision_recall_fscore_accuracy 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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