LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

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Prompt Preview

---
name: fit-drift-diffusion-model
description: >
  Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and
  accuracy data with parameter estimation (drift rate, boundary separation,
  non-decision time), model comparison, and parameter recovery validation.
  Use when modeling binary decision-making with reaction time data, estimating
  cognitive parameters from experimental data, comparing sequential sampling
  model variants, or decomposing speed-accuracy tradeoff ef...

Full prompt length: 16178 characters

Tools & Technologies

  • python
  • Python