| name | cumcm-baseline-models |
| description | Design simple, defensible baseline models for CUMCM prediction, classification, evaluation, optimization, simulation, and ranking tasks before using stronger methods. Use when a team needs a minimum viable model, method comparison, ablation baseline, or fallback path under contest time pressure. |
CUMCM Baseline Models
Use this skill to create a simple model that can anchor the paper and expose whether a complex method is actually better.
Workflow
- Identify the task type: prediction, classification, evaluation, optimization, simulation, network, or ranking.
- Choose a baseline that is explainable and quick to implement.
- Define the metric or objective before comparing models.
- State what the baseline ignores and why the main model improves on it.
- Plan one table or figure comparing baseline versus main model.
- Read
references/checklist.md for baseline selection.
- Read
references/baseline-map.md for task-to-method mapping.
- Read
references/examples.md when writing baseline sections.
Guardrails
- Do not skip the baseline for a complex model.
- Do not claim improvement without the same metric and data split.
- Prefer a working simple model over a fragile impressive model.