rriviere/pokerpath-lab-preflop
tabular-classification model by rriviere
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Model card & documentation
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Random Forest qui prédit l'action d'un solveur (fold, check, call, raise) dans une situation préflop après une action adverse. Il sert de juge dans le projet PokerPath Lab : une décision différente de l'action prédite est signalée comme erreur possible. rriviere/pokerpath-lab-preflop-data (révision 291e5361f0c8fff9295444c643813eb06ed108eb) : situations de PokerBench (révision 7ac61f961c81a50fc0f667820b2fb0e432dfec0d), préparées. Labels de solveur, tables de 6 joueurs, 100 BB, sans ante. Les décisions au premier à parler et les situations sans choix sont retirées, les doublons supprimés : 20 511 lignes, 79 % de fold. 20 variables, dans cet ordre : highrank, lowrank, pair, suited, gap, numbets, numplayers, numcalls, pot,…
Read the full model card ↗ · Preview checked 2026-11-09T09:02:04.089Z
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Model overview
rriviere/pokerpath-lab-preflop is a tabular-classification model repository published by rriviere on Hugging Face. The source reports the sklearn library.
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Model facts
- Task
- tabular-classification
- Library
- sklearn
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-09T06:42:19.000Z
- Last modified
- 2026-11-09T06:49:30.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-09T06:55:49.891Z. Daily imports are snapshots, not real-time monitoring.
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