Audits mathematical modeling results for MCM/ICM Problem C to ensure logical consistency and model stability.
mcm-c-validator is a specialized auditing tool designed for participants of the COMAP Mathematical Contest in Modeling (MCM/ICM), specifically targeting Problem C. It serves as a sanity-check specialist, systematically reviewing modeling outputs for common pitfalls such as temporal data leakage, unit inconsistencies, and physical boundary violations. By providing structured validation checklists, red-flag reports, and actionable remediation steps, it ensures that mathematical conclusions are both mathematically sound and practically plausible before final report submission.
Key Features
01Performs robustness and sensitivity analysis via window and seed testing
020 GitHub stars
03Recommends automated visualizations for error distribution and data quality
04Detects data leakage in time-series and decision-based models
05Generates comprehensive risk assessments and remediation strategies
06Verifies physical and logical boundary constraints for variables
Use Cases
01Verifying if model outputs like costs or populations stay within logical bounds
02Auditing training-test splits to prevent temporal leakage in predictive models
03Assessing model sensitivity to hyperparameter changes or data perturbations
