EuroJackpotLab Models
Structured comparison of ranking-based model workflows derived from the EuroJackpotLab evaluation pipeline.
Research Navigation
Live Test Phase
The model results currently displayed on this page are validation data generated by the automated EuroJackpotLab model pipeline.
These data are used for functional testing, error analysis and verification of the automated model workflow under real-world conditions. They are not yet part of the long-term model comparison.
The validation data will remain publicly available and will be clearly separated from the data collected during the future long-term experiment.
Model Comparison Framework
EuroJackpotLab evaluates structured ranking-based models against a random baseline using historical draw datasets.
The goal is not prediction, but comparative behaviour analysis of ranking strategies across different feature-selection approaches.
Available Model Types
- Frequency model
- Rolling window model
- Hybrid ranking model
- Ensemble model
- Random baseline reference
Model Comparison Snapshot
- Frequency AvgRank: 20.86
- Random AvgRank: 22.39
- Rolling AvgRank: 32.89
- Hybrid AvgRank: 41.31
- Ensemble AvgRank: 6.02
- Current strongest model: Ensemble model
Interpretation Context
Model comparison values describe relative ranking behaviour across historical evaluation runs.
These values are part of a structured mathematical experiment and do not represent predictive guarantees.