LLM Evaluation

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

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

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Usefulness

3.0 /5

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Overall Rating

3.0 /5

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Prompt Preview

---
name: scikit-learn
description: Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
license: BSD-3-Clause license
metadata:
    skill-author: K-Dense Inc.
---

# Scik...

Full prompt length: 15532 characters

Tools & Technologies

  • python
  • Python