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Rules for a reproducible machine learning experiment v1.0.0

Use this resource to run reproducible machine learning experiments

New

  • 85 downloads
  • 42 likes
  • 191 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install machine-learning-experiment-rules

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt details about twenty rules: a metric and a baseline before training, time-based splits, a frozen test set, run tracking, a model saved with its preprocessing and drift monitoring after launch. You get a checklist for a data team.

Mostly picked by

Updated November 2, 2026

Card for the “Rules for a reproducible machine learning experiment” prompt

Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Rules on data, tracking and production
  • A grid for writing an experiment note

Good fit for

  • A tabular model project that must be reproducible
  • A data team that wants to structure its tests

Not for

    Tags

    • machine learning
    • data
    • experiments
    • reproducibility

    About

    You say

    “Apply these rules to my churn forecasting project and list what is missing.”

    Card for the “Rules for a reproducible machine learning experiment” prompt

    Prompt published by f under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to run reproducible machine learning experiments
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0.6 KB
    • machine-learning-experiment-rules.md2.5 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    f
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Machine Learning Experiment taste » (f, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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