I’ve been updating the site to use Prototype.js, an Ajax framework. In the process, I was looking for some demo code. Scriptaculous, as they often do, came to the rescue. However, they have a bug on their page that deals with the Prototype Ajax.Updater. They say:
Other bloggers have been discussing which schools place the most emphasis on GPA.
At Mychances.net, at least, it’s our experience that the schools at the “top” are the ones most likely to take into account more than GPA and scores. These are the ones most difficult to “chance” based on numbers alone. The ones in the middle of the pack tend to be pretty well predictable based on GPA, standardized tests, and little more than that.
Today the site has reached an important milestone: there are now 10,000 registered members. Thanks for your interest in this site and for your contributions to one another.
Some communities become more distant and less useful as their numbers grow. I think our community is quite the opposite; as more people join and contribute, we’ll all gain better insight into the daunting process of college admissions. And I’m working on a few tools right now to help keep the community interconnected, even as the site grows larger.
Until soon.
I’ll be taking a break from the site for the next 30 days, while I prepare for some big exams (I’m on my neuro block at Hopkins Med right now). In the meanwhile, please feel free to leave suggestions or feature-requests in the comments below. Alternatively, you can always message or email me. Good luck with your apps!
New feature: community predictions. These allow you to rate fellow members’ chances at any school where they have not yet received a decision (acceptance/waitlist/rejection), and others can rate you.
In short time, I’ll be developing an “application” to go with this. As things stand, the plan is to display a profile based on how often you rate others profiles. The probability that someone will be taken to your profile is determined based on how many profiles you have rated. The system should, therefore, reward you for rating others’ profiles. There may be different incentive structures added on later.
I’ve implemented some survey questions to try to begin making the predictions more accurate at some of the tougher schools. If you’re creating a new account, you’ll automatically be asked 7 easy questions (no writing involved). If you’ve already got an account, why not update your account so the algorithm can improve our predictions for you?
(Note – the prediction algorithm is not using this info yet because the site just started collecting it, but this will change in the weeks to come.)
Today I updated the prediction models for the first time in a few months, so you might see a shuffle in your predictions as the model updates. We’re still working with a relatively small sample size in the low thousands. As the site grows, the predictions will become less labile.
As things currently stand, the site is, on the whole 90% accurate (see the bottom piece of data on that page).
Also, the Admission Game has been updated to properly take into account the predictions made by each school’s model.
Welcome, CCers. After getting some feedback requesting more information, I’ve made a couple changes. First, you will now see the predicted probability of admission in your profile, instead of just a “yes” or “no”. Second, the accuracy of the model that is giving you the prediction will be shown just below, so that you can get a better sense of how much you want to trust the prediction.
Cheers,
James
For the past few weeks, predictions have been displayed on the member list for each school. Starting today, you can just visit your own college tracker to see the predictions at each of the schools on your list. That should save a few clicks. Also, if you hover your mouse over the prediction, extra details about that prediction appear in a box above the mouse.
Use this thread to give feedback, positive and negative.
Quick update – we’ve updated the system to display the predicted admissions outcome for each applicant on each school’s page. For example, if you visit the page of University of Illinois you’ll see that the model predicts admission to that school about 75% of the time.
At the University of Virginia, it predicts admission correctly about 62% of the time, while at the University of Pennsylvania, it’s right over 80% of the time.
What do you think of the accuracy, or of the predictions in general?
James on New College Rankings
dmjmd on New College RankingsJames on New College Rankingsdmjmd on New College RankingsJames on New College Rankings