fsrs4anki-helper VS srs-benchmark

You can set easy days via the FSRS4Anki Helper add-on: https://ankiweb.net/shared/info/759844606

And it also supports to postpone your backlog.

What was your retention before, using the old algorithm? If you don't know, download the Helper add-on, Shift + Left Mouse Click on Stats and look at the True Retention table. Make sure to select "Deck life" at the bottom of the window.

FSRS4Anki Helper (https://ankiweb.net/shared/info/759844606)

FSRS4Anki Helper is definitely the most popular Free add-on for Anki in recently. The author has researched and written a paper on spaced repetition and can customize Anki's schedule to optimize it for learning.

It's better to think about the mature card hit-rate you're aiming for. Most people will aim for about 90% hit rate on mature cards. There are some schedulers that let you play around with the goal hit-rate - IIRC, this one does that: https://ankiweb.net/shared/info/759844606. If you set a higher required mature hit-rate on a scheduler like this you'll see your cards more, which is what you seem to want.

FSRS4Anki Helper - AnkiWeb

I let my due cards build up sometimes, and my strategy when I come back is to sort them by lowest interval because I figure those are highest priority. I think the fsrs4anki-helper add on also has a reschedule function that might work for you, although I've never used it.

There is a patch now that ignores all notes with more than 10 cards: https://github.com/open-spaced-repetition/fsrs4anki-helper/issues/111

Use FSRS4Anki with FSRS4Anki Helper add-on. It has an option to set "Free Days" and then it's not scheduling cards on the days of the week you choose.

Install link: https://ankiweb.net/shared/info/759844606

I've shared it here in the original ticket that added the benchmark confidence intervals https://github.com/open-spaced-repetition/fsrs-benchmark/iss...

Here's the link to the benchmark repository: https://github.com/open-spaced-repetition/fsrs-benchmark/tree/Feat/new-dataset

Recently, I have run three comparisons for spaced repetition algorithms. They included SM-15, SM-17, SM-2, HLR, LSTM and FSRS series. The initial result shows that FSRS v4 beats all other algorithms in predicting probability of recall. It's a good news that the open-source algorithm can overperform SuperMemo's proprietary algorithm.