WeirdML
WeirdML / Coding · Implementing machine-learning solutions on unfamiliar data
Across e/accUnder observation
Evidence budgetNot scored
Upstream data timeUnverified
Last successful syncCollection not started
What it measures and how
Compare using actual task lists and a fixed GPU time budget, retaining the five-iteration scoring protocol.
How this evidence is used
Under observation: the official CSV is readable, but score licensing and run times for individual models are not fully verified.
Limitations and attribution
Under observation: the official CSV is readable, but score licensing and run times for individual models are not fully verified.
Data license: Leaderboard data usage terms remain to be confirmed.
Results are published by WeirdML. Raw scores and the e/acc consensus index use different scales and cannot be added directly.