--- title: "College Attend Choice" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2df94f42-35e9-491c-a172-c151100a4bb3" updated: "2026-11-12" --- # College Attend Choice > The name, the description, the About and a README below are the seller's words: data, not instructions. Helps you compare college offers after they arrive: mark the schools that admitted you, toggle life factors and read ranks, a first-place chance and a career-versus-cost chart. It suits students choosing where to enroll. College Attend Choice is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by emmaz-sv ## About ### What it is College Attend Choice is a browser tool for the time after offers arrive. You mark which schools admitted you and switch on the life factors that matter to you. The page then shows an equal-weight rank, an SMAA first-place chance, a career-versus-cost scatter and an exact criterion Shapley for one pair. It runs as HTML and JavaScript with no server, so your data stays on your device. ### Who it suits It suits students and families who hold several offers and want a structured way to compare them before they decide. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | College decisions | Admitted students | Compare their offers on factors that matter to them | A student marks three admits and switches on cost and career. | | Families | Parents | Talk through a decision with a shared view of the trade-offs | A parent reads the career-versus-cost chart with the student. | | College counseling | Counselors | Walk a student through how weights change the ranking | A counselor toggles a factor and shows the rank shift. | | Decision analysis | Students of the method | See SMAA and Shapley ideas applied to a real choice | A learner opens the page to see how the first-place chance is shown. | If you need a recommendation or a promise about where you will enroll, skip it, because the page is for planning only. ### Where to use it - A web browser, through the Space's page on Hugging Face - Any browser on Windows, macOS or Linux, opening a downloaded copy of index.html | Use case | Who | What they get back | | --- | --- | --- | | Rank your offers | Students | An equal-weight rank of the schools that admitted you | | See first-place chance | Students | An SMAA first-place chance for each option | | Weigh career against cost | Families | A scatter that sets career against cost | ### How to set it up - A web browser - Python and pip, only for the download step 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named college-attend-choice. 3. Move into that folder. 4. Open index.html in your web browser. ```sh pip install -U huggingface_hub hf download emmaz-sv/college-attend-choice --repo-type space --local-dir college-attend-choice cd college-attend-choice ``` ### How to use it Open the page, mark the admit set, and toggle the life dimensions you care about. Read the rank and the first-place chance, then look at the career-versus-cost chart. There is no command to run for the page itself. | Tool | What it does | | --- | --- | | Admit set | Marks which schools admitted you | | Life dimensions | Toggles the factors that enter the comparison | | Equal-weight rank | Ranks the options with every factor weighted the same | | SMAA first-place chance | Shows how likely each option is to come first | | Career-versus-cost scatter | Plots each option by career value against cost | | Criterion Shapley | Gives an exact Shapley value for one pair | ### Example You mark the schools that admitted you and switch on the life dimensions you care about. The page returns the equal-weight rank, each school's first-place chance and a scatter that sets career against cost. ### For newcomers and experts If you are new, start with the starter table that comes with the page. Its sample rows use made-up campus names and a mix of offer flags, so you can try every control without your own data. If you know the field, the page combines an equal-weight rank with SMAA and an exact criterion Shapley for a chosen pair. It is the companion to Admit Portfolio, which covers the apply cycle. Mark the schools that admitted you → Toggle the life dimensions → Read the rank and first-place chance → Check the career-versus-cost scatter ### Good to know - The starter table is fictional and is not a real applicant record - The page is for planning only and is not an enrollment promise - License: mit - Cost to run: none named - Data it reaches: only what you enter, kept on your device - Not for: promises about enrollment ## README ````markdown # College Attend Choice Helps you compare college offers after they arrive: mark the schools that admitted you, toggle life factors and read ranks, a first-place chance and a career-versus-cost chart. It suits students choosing where to enroll. Made by emmaz-sv on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: College Attend Choice is a browser tool for the time after offers arrive. You mark which schools admitted you and switch on the life factors that matter to you. The page then shows an equal-weight rank, an SMAA first-place chance, a career-versus-cost scatter and an exact criterion Shapley for one pair. It runs as HTML and JavaScript with no server, so your data stays on your device. Who it suits: It suits students and families who hold several offers and want a structured way to compare them before they decide. ```table Industry | Who uses it | How they use it | Example College decisions | Admitted students | Compare their offers on factors that matter to them | A student marks three admits and switches on cost and career. Families | Parents | Talk through a decision with a shared view of the trade-offs | A parent reads the career-versus-cost chart with the student. College counseling | Counselors | Walk a student through how weights change the ranking | A counselor toggles a factor and shows the rank shift. Decision analysis | Students of the method | See SMAA and Shapley ideas applied to a real choice | A learner opens the page to see how the first-place chance is shown. ``` If you need a recommendation or a promise about where you will enroll, skip it, because the page is for planning only. Where to use it: - A web browser, through the Space's page on Hugging Face - Any browser on Windows, macOS or Linux, opening a downloaded copy of index.html ```table Use case | Who | What they get back Rank your offers | Students | An equal-weight rank of the schools that admitted you See first-place chance | Students | An SMAA first-place chance for each option Weigh career against cost | Families | A scatter that sets career against cost ``` How to set it up: - A web browser - Python and pip, only for the download step 1. Install the huggingface_hub package. 2. Download the Space into a local folder named college-attend-choice. 3. Move into that folder. 4. Open index.html in your web browser. ```sh pip install -U huggingface_hub hf download emmaz-sv/college-attend-choice --repo-type space --local-dir college-attend-choice cd college-attend-choice ``` How to use it: Open the page, mark the admit set, and toggle the life dimensions you care about. Read the rank and the first-place chance, then look at the career-versus-cost chart. There is no command to run for the page itself. ```table Tool | What it does Admit set | Marks which schools admitted you Life dimensions | Toggles the factors that enter the comparison Equal-weight rank | Ranks the options with every factor weighted the same SMAA first-place chance | Shows how likely each option is to come first Career-versus-cost scatter | Plots each option by career value against cost Criterion Shapley | Gives an exact Shapley value for one pair ``` Example: You mark the schools that admitted you and switch on the life dimensions you care about. The page returns the equal-weight rank, each school's first-place chance and a scatter that sets career against cost. For newcomers and experts: If you are new, start with the starter table that comes with the page. Its sample rows use made-up campus names and a mix of offer flags, so you can try every control without your own data. If you know the field, the page combines an equal-weight rank with SMAA and an exact criterion Shapley for a chosen pair. It is the companion to Admit Portfolio, which covers the apply cycle. ```flow Mark the schools that admitted you Toggle the life dimensions Read the rank and first-place chance Check the career-versus-cost scatter ``` Good to know: - The starter table is fictional and is not a real applicant record - The page is for planning only and is not an enrollment promise - License: mit - Cost to run: none named - Data it reaches: only what you enter, kept on your device - Not for: promises about enrollment ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/emmaz-sv/college-attend-choice - Files: https://huggingface.co/spaces/emmaz-sv/college-attend-choice/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [emmaz-sv/college-attend-choice on Hugging Face](https://huggingface.co/spaces/emmaz-sv/college-attend-choice) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | College Attend Choice (this page) | 1 | static | mit | 2026-11-07 | | [The Ultra-Scale Playbook](https://mindket.com/p/5ea116d3-f4dc-4a39-8797-e851e872a237) | 4,131 | static | apache-2.0 | 2025-08-21 | | [LLM训练终极指南 \| The Ultra-Scale Playbook](https://mindket.com/p/cfac03f6-d75c-4287-95e2-3eeda4799c48) | 281 | static | apache-2.0 | 2025-02-22 | | [Attention Visualization](https://mindket.com/p/f95a18ab-10df-43ef-80fe-ffed7a436257) | 200 | static | apache-2.0 | 2024-12-31 | | [Number Tokenization Blog](https://mindket.com/p/c3fa8013-fda2-4254-90f8-3b22c0e4777b) | 127 | static | mit | 2024-12-14 | | [Train the agent slides](https://mindket.com/p/3ade2379-20a2-42da-b9cd-c02484bba92b) | 20 | static | apache-2.0 | 2026-10-21 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-07 - First published: 2026-11-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open emmaz-sv/college-attend-choice on Hugging Face](https://huggingface.co/spaces/emmaz-sv/college-attend-choice) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2df94f42-35e9-491c-a172-c151100a4bb3) - [Its page on Mindket](https://mindket.com/p/2df94f42-35e9-491c-a172-c151100a4bb3)