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Jev classification in Hassan's Email fraud detection with Jev and Kimi

Author: Hassan

Classification

Hassan

Classify this use case

  • Classification1.00
  • Shipped0.42
  • Measured0.85
  • Usefulness0.45
  • Community post1.00
  • Ready0.48
  • Specific case0.84
  • Copy quality0.43
  • Creativity0.51
  • Distinct intent0.89

Ask Jev which label this item should get in Email fraud detection with Jev and Kimi.

Questions

Primitive

Choice

Ask a multiple choice question

Name
label
Instructions
Which label should this item get? Pick the single best match.
Criteria
  • yes

    The intended positive label.

  • no

    The intended negative label.

  • uncertain

    Not enough evidence.