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Estimates the chance of at least one college admit and a Shapley share from Naviance scattergram counts, in a browser page that keeps your data on your device. It suits students planning where to apply.
College Admit Portfolio is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download emmaz-sv/college-admit-portfolio --repo-type space --local-dir college-admit-portfolio cd college-admit-portfolio
College Admit Portfolio is a static web page that estimates the probability of at least one admit from Naviance scattergram counts. It also gives a Shapley share. You enter the counts k and n read from the box that matches your GPA and test score. It runs as HTML and JavaScript with no server, so your data stays on your device.
It suits students and families who are building an application list and want a number for how likely at least one admit is.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| College applications | High school students | Check how a set of schools adds up to at least one admit | A student enters counts for each school from their scattergram. |
| College counseling | Counselors | Show a family how the list shifts the overall odds | A counselor tests a list with and without one school. |
| Families | Parents | Plan an application list together with the student | A parent compares two possible lists. |
| Data curious | Students of statistics | See a union probability worked out from counts | A learner opens index.html to read how the estimate is formed. |
If you want a prediction for one school from your whole profile, skip it, since it works only from scattergram counts.
| Use case | Who | What they get back |
|---|---|---|
| Estimate at least one admit | Students | The probability that at least one application is admitted |
| See each school's share | Counselors | A Shapley share worked out from the counts |
| Keep it private | Families | A page that keeps your data on your own device |
pip install -U huggingface_hub hf download emmaz-sv/college-admit-portfolio --repo-type space --local-dir college-admit-portfolio cd college-admit-portfolio
Open the page and enter the scattergram counts for each school, the k of n shown in your GPA and test box. The page then shows the estimate and the Shapley share. There is no command to run for the page itself.
| Tool | What it does |
|---|---|
| k and n counts | The numbers you read from your Naviance scattergram box |
| P(at least one admit) | The estimated chance that you are admitted somewhere |
| Shapley share | A game-theory measure that the page works out from your counts |
You read the counts k and n from the GPA and test box on your scattergram for each school and type them in. The page returns the chance of at least one admit and the Shapley share.
If you are new, k is how many students in your box were admitted and n is how many applied. Enter those numbers for one school first.
If you know the field, the page computes a union probability across schools from scattergram counts. It also reports a Shapley share, which the page does not explain beyond its name. The README lists four ways to publish it to Hugging Face, among them GitHub Actions and two fish scripts.
Estimates the chance of at least one college admit and a Shapley share from Naviance scattergram counts, in a browser page that keeps your data on your device. It suits students planning where to apply.
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.
What it is: College Admit Portfolio is a static web page that estimates the probability of at least one admit from Naviance scattergram counts. It also gives a Shapley share. You enter the counts k and n read from the box that matches your GPA and test score. 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 are building an application list and want a number for how likely at least one admit is.
Industry | Who uses it | How they use it | Example
College applications | High school students | Check how a set of schools adds up to at least one admit | A student enters counts for each school from their scattergram.
College counseling | Counselors | Show a family how the list shifts the overall odds | A counselor tests a list with and without one school.
Families | Parents | Plan an application list together with the student | A parent compares two possible lists.
Data curious | Students of statistics | See a union probability worked out from counts | A learner opens index.html to read how the estimate is formed.
If you want a prediction for one school from your whole profile, skip it, since it works only from scattergram counts.
Where to use it:
Use case | Who | What they get back
Estimate at least one admit | Students | The probability that at least one application is admitted
See each school's share | Counselors | A Shapley share worked out from the counts
Keep it private | Families | A page that keeps your data on your own device
How to set it up:
pip install -U huggingface_hub
hf download emmaz-sv/college-admit-portfolio --repo-type space --local-dir college-admit-portfolio
cd college-admit-portfolio
How to use it: Open the page and enter the scattergram counts for each school, the k of n shown in your GPA and test box. The page then shows the estimate and the Shapley share. There is no command to run for the page itself.
Tool | What it does
k and n counts | The numbers you read from your Naviance scattergram box
P(at least one admit) | The estimated chance that you are admitted somewhere
Shapley share | A game-theory measure that the page works out from your counts
Example: You read the counts k and n from the GPA and test box on your scattergram for each school and type them in. The page returns the chance of at least one admit and the Shapley share.
For newcomers and experts: If you are new, k is how many students in your box were admitted and n is how many applied. Enter those numbers for one school first.
If you know the field, the page computes a union probability across schools from scattergram counts. It also reports a Shapley share, which the page does not explain beyond its name. The README lists four ways to publish it to Hugging Face, among them GitHub Actions and two fish scripts.
Read k and n from your scattergram
Enter the counts for each school
The page computes the union probability
The Shapley share is shown with it
Good to know:
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.
README.md 4 KB
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