id3 决策树构建算法可视化
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- machine-learning
- Domain
- content, documentation, machine-learning
Research direction
Start by opening the submitted article at https://id3.js.org/how and inspect the repository to find where article recommendations are recorded and what format they use. The work is done when the ID3 decision-tree visualization is added with the supplied title, URL, author, and recommendation text.
Written by the indexing model from the issue text.
Description
博文地址： https://id3.js.org/how
是否为个人原创： 是
投稿推荐语： id3 决策树构建算法的知识点讲解，以及一个在线演示。
原作者信息(选填)：Jeff-Tian
原始发布平台： https://id3.js.org/how
联系方式：[email protected]
- Dominant language
- Shell
- Stars
- 76
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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