Master IASD · DataLab 2026

Collaborative filtering

A1 · Daily results

Updated 01 October 2026 · 02:26 CESTDaily run around 05:00 · Paris time

2026 podium

Lowest RMSE wins. Professor references do not occupy podium places.

The podium will appear after the first successful runs from the 2026 groups.

Results

Scores use hidden evaluation ratings; the input contains train + test. Accuracy is the percentage of exactly predicted ratings. These measurements support your analysis; code itself is not graded.

Hover or focus the ! icon to read an error. Click it to copy the message.

RankStatusSource
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Professor reference
BestOf 2023 · 1Reference
0.8030.0042.38Success Frozen reference8b6fb772
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Professor reference
BestOf 2025 · 1Reference
0.8170.0089.71Success Frozen referenceab53d900
—
Professor reference
BestOf 2025 · 2Reference
0.8300.025.43Success Frozen reference55d5e886
—
Professor reference
BestOf 2024 · 1Reference
0.8480.00146.37Success Frozen reference1204cccc
—
Professor reference
BestOf 2023 · 2Reference
0.86026.1699.17Success Frozen reference2fa4d93a
—
Professor reference
BestOf 2024 · 2Reference
0.86325.4540.77Success Frozen reference7869cd93
—
Professor reference
averageReference
1.0370.001.02Success Frozen reference
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Professor reference
randomReference
1.84614.021.27Success Frozen reference
BestOf references are preserved benchmarks from previous years. They use a generic avatar. Their current scores are recomputed with this platform; archived scores remain in the history.

Run 20261001T002148Z · Execution limit: 1200 s per group. Student runs: 4 CPU threads · 12 GiB host memory · CPU only. Historical references use one A40 GPU when required. Dependency installation time is not included in the reported execution time.