Accuracy

Live metrics from walk-forward backtesting against actual Land Registry sale prices. No cherry-picking. No simulated data. These are real predictions vs real outcomes.

60.2%
PE10
Percentage of valuations within 10% of sale price
7.8%
MdAPE
Median Absolute Percentage Error
295,040
Test Properties
Number of properties in the backtest holdout set

Reading the metrics

PE10 (Percentage within 10%)

The proportion of valuations where the model's estimate fell within 10% of the actual sale price. This is the industry-standard accuracy metric for automated valuation models. A PE10 above 80% is considered strong performance for a national AVM.

MdAPE (Median Absolute Percentage Error)

The median percentage by which the model's estimate differs from the actual sale price. Using the median rather than the mean prevents outliers from distorting the figure. Lower is better.

Test count

The number of properties used in the backtest holdout set. A larger test set produces more statistically robust accuracy measurements. We use walk-forward validation: the model is trained on historical data and tested on subsequent sales it has never seen.

Regional breakdown

Model performance varies by region. Dense urban markets with high transaction volumes typically produce stronger results than rural areas with fewer comparables.

Region PE10 MdAPE Test Properties
East Midlands 63.8% 7.1% 21,132
East of England 64.2% 7.1% 30,478
London 60.5% 7.8% 37,467
North East 52.2% 9.4% 14,595
North West 56.2% 8.5% 41,154
South East 63.7% 7.2% 45,149
South West 62.4% 7.4% 33,038
Unknown 50.0% 10.1% 100
Wales 56.2% 8.6% 14,770
West Midlands 61.1% 7.6% 25,190
Yorkshire 56.5% 8.5% 31,967

Confidence tiers

Every valuation is assigned a confidence tier based on the availability of comparable evidence, feature completeness, and model prediction uncertainty. This tells you how much weight to place on the estimate.

Tier 1 — High Confidence

Strong comparable evidence, standard property type, active local market. The prediction interval is narrow and the model has high certainty. Suitable for lending and investment decisions with appropriate due diligence.

Tier 2 — Medium Confidence

Reasonable comparable evidence with some gaps. The prediction interval is moderate. Useful as a price indication but consider supplementing with local market knowledge.

Tier 3 — Low Confidence

Limited comparable evidence, unusual property, thin market, or significant data gaps. The prediction interval is wide. Treat as indicative only — a formal valuation is recommended.

Want the technical detail?

Our methodology page explains the model architecture, feature engineering, validation approach, and compliance framework in full.

Read the methodology