Metadata
Technology & Computer Science Graduate Remember Easy
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Metadata

  • Subject

    Technology & Computer Science

  • Education level

    Graduate

  • Cognitive goals

    Remember

  • Difficulty estimate

    Easy

  • Tags

    machine learning, evaluation metrics, precision, recall, f1-score, roc auc

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess graduate students' ability to recall and accurately define core classification evaluation metrics—accuracy, precision, recall (sensitivity), F1-score (harmonic mean of precision and recall), and ROC AUC—covering their formulas, interpretive meanings, threshold dependence, typical use cases (e.g., class imbalance, ranking), and basic trade-offs.
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Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.