Model cards

Strengths and weaknesses across budgets.

Compare models across dataset modalities and training budgets using strict, fold-level Macro-F1 Elo.

Model profile

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Default parameters. Peer models use their prespecified benchmark-default configuration without per-dataset tuning. This card describes that configuration, not the best achievable tuned model.

Operating map

Macro-F1 Elo relative to Random Forest. Columns are training-sample caps; rows are dataset modalities. Small labels show the number of binding targets.

Elo difference vs. Random Forest
Fixed nonlinear scale; extremes capped at ±1,000 Elo.
No result / comparison unavailable

Reliability

Failure rate map

Failed fits / (successful + failed fits) for the selected model and modality. Design skips are omitted. A dash means no attempted fits; 0% means all attempted fits succeeded. Hover for counts. Colours span 0–20%, with rates above 20% using the darkest shade; cell labels and hover retain the actual rate. This chart is independent of the performance sensitivity view.