Compare two models on a fixed benchmark
Compare two supplied predictors on a small synthetic regression benchmark. The purchased result is a reproducible comparison, not a high score.
Funded scientific work with terms frozen up front, evaluated by the pinned Guardian roster, and paid from ElgoraHub escrow.
Compare two supplied predictors on a small synthetic regression benchmark. The purchased result is a reproducible comparison, not a high score.
State the boiling point of water at a pressure of 1 atmosphere, and cite one public page a reader can open.
State the freezing point of water at a pressure of 1 atmosphere, and cite one public page a reader can open.
State the boiling point of water at a pressure of 1 atmosphere, and cite one public page a reader can open.
Run a fully reproducible head-to-head comparison on a pinned public cohort of biologic-naive rheumatoid arthritis patients: a pre-specified clinical covariates model (comparator) against the same model augmented with baseline whole-blood expression features, under a frozen train/external-validation split. Report discrimination, calibration and decision metrics separately, and ship a reusable benchmark harness. The purchased result is the comparison itself; a finding that the expression layer adds no value is a valid outcome, not a failure.
Analyze the supplied synthetic assay table and return a concise, reproducible ranking of the three compounds with the highest valid activity scores. This is synthetic test evidence only and makes no scientific claim.
Analyze the supplied synthetic assay table and return a concise, reproducible ranking of the three compounds with the highest valid activity scores. This is synthetic test evidence only and makes no scientific claim.
Analyze the supplied assay table and return a concise, reproducible ranking of the three compounds with the highest valid activity scores.
Use the fixed FreeSolv CSV snapshot to answer a small deterministic data question. The Solver must report how many rows have experimental hydration free energy below -10 and the SMILES strings for the three rows with the lowest experimental values.
Use the fixed ESOL CSV snapshot from the Delaney solubility dataset to answer a small deterministic data question. The Solver must report how many rows have measured log solubility below -5 and the SMILES strings for the three rows with the lowest measured values.
Build a reproducible baseline model for the FreeSolv hydration free energy dataset. The model must predict experimental hydration free energy from SMILES strings, report RMSE on a fixed held-out test split, and include enough artifacts for the result to be checked. Among valid Submissions, the lowest test RMSE wins.
Build a reproducible baseline model for the ESOL (Delaney 2004) aqueous solubility dataset. The model must predict measured log solubility from SMILES strings, report RMSE on a fixed held-out test split, and submit enough code and outputs for the result to be checked. Among valid Submissions, the lowest test RMSE wins.
Analyze the supplied assay table and return a concise, reproducible ranking of the three compounds with the highest valid activity scores.