srsbench
Evaluation Metrics for Spaced Repetition Schedulers
Calibration and discrimination metrics for spaced-repetition memory models. Provides the sample-weighted binned root mean squared error (RMSE(bins)) used to rank schedulers in the open spaced repetition benchmark, together with log loss, the area under the ROC curve, and calibration curves.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1 |
rolling linux/jammy R-4.5 | srsbench_0.1.tar.gz |
22.2 KiB |
0.1 |
rolling linux/noble R-4.5 | srsbench_0.1.tar.gz |
22.0 KiB |
0.1 |
rolling source/ R- | srsbench_0.1.tar.gz |
5.3 KiB |
0.1 |
latest linux/jammy R-4.5 | srsbench_0.1.tar.gz |
22.2 KiB |
0.1 |
latest linux/noble R-4.5 | srsbench_0.1.tar.gz |
22.0 KiB |
0.1 |
latest source/ R- | srsbench_0.1.tar.gz |
5.3 KiB |
0.1 |
2026-04-23 source/ R- | srsbench_0.1.tar.gz |
0 B |