OpenChainGraph Suite · ART-451 · Model Risk Management

Model Outcome-Analysis Comparison

SR 26-2 ongoing-monitoring backtest: compares a list of period predicted-vs-actual outcomes for a model, computes per-period absolute percent error and mean/max error, and flags periods breaching your declared error tolerance. Returns a pass/fail outcome status against your declared maximum breach rate. Second node in the model-passport lifecycle — feeds into validation status (ART-452).

Predicted vs Actual Backtest Mean/Max Absolute Percent Error Model-Passport Step 2 of 3

🔒 All inputs are processed locally in your browser. No data is transmitted. Do not enter real personal data — use synthetic or anonymised inputs only.

⚠ Predicted/actual values and tolerances are your own inputs — this tool never vendors a live model-monitoring feed.

Period Observations (label, predicted, actual)

PeriodPredictedActual

Screen Parameters

Error tolerance (%)

Max breach rate (%)

Period Detail

Execution Hash (SHA-256)