I don't have it available. Someone posted the link on Mayo Connect and I clicked on it there. It looked like a similar algorithm used in the U.K. If I find either, I'll post it/them.

Here's the link to the recurrence algorithm on Tufts University's website.
https://www.tuftsmedicalcenter.org/ibtr/
What I found interesting was that I didn't do chemo, radiation or drugs and I entered my data for 'with drugs' and 'without drugs' and it yielded less than a 1% difference in risk of recurrence either way!

That was reassuring since the 'rule of thumb' is that the anti-hormone therapy 'may' reduce the risk of recurrence by 40-50%. And it correlated with the low recurrence risk from my OncotypeDX test.

If you enter different data, including age, you can see how the risk 'prediction' changes and why it's critical that young females, many of whom don't even get breast exams or mammos until their late 30s, to be made aware of the importance of screening for lumps and oddities. The same cancer I had would be far more aggressive in a young woman, possibly due to higher estrogen levels?

There are several of these "predictive" algorithms online. The Tufts one looks at ipsalateral recurrence. The one below is similar. It's not as specific as, say, personal genomic testing bug relies on current data bases so somewhat useful. I had the Oncotype test done and that was reassuring. Not a guarantee against recurrence, but the low score was better news than a high score.
https://cts5-calculator.com/