Make your own ML Model.

Every generation is benchmarked against the global leaderboard.

Ready for synthesis
Ranking Algorithm: Min-Max Normalization
$$Score = \frac{1}{n} \sum_{i=1}^{n} \frac{x_i - Min_i}{Max_i - Min_i}$$
Where \(x\) is accuracy, \(Min\) is the global floor, and \(Max\) is the record.

Leaderboard

Metric
Normalized Score