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AVM model details: District of Columbia, United States

Performance metrics for AVMs in this location.

Model type

Select the type of valuation model you want to view.

List price estimation model

Estimates list prices in this location from historical data and market trends.

Key performance metrics

Median Absolute Percentage Error (M. MAPE)15.0%Half of our predictions are within this percentage of the actual value
Testing R² Score0.790How much of the price variation our model explains
Root Mean Square Error$447678Average prediction error in dollars
Mean Absolute Error$188610Average absolute difference between predicted and actual

Accuracy distribution

Percentage of predictions within various error ranges

Within 5%19.6%
Within 10%36.1%
Within 15%49.9%
Within 20%61.1%

Prediction bias analysis

Does the model tend to overestimate or underestimate?

Mean Bias-$50355Average prediction bias (+ means overestimate)
Median Bias+$3482Typical prediction bias
Over-prediction Rate51.3%Percentage of predictions that are above the actual value
Under-prediction Rate48.7%Percentage of predictions that are below actual value

Error distribution percentiles

The absolute error amount at different percentiles - for example, '90th percentile: $50,000' means 90% of predictions have errors less than $50,000

Percentile10th25th50th75th90th95th
Error Amount$14573$39289$91397$191915$396997$620502

Model configuration & training

Training Samples33382
Testing Samples2265
Training R²0.900
Testing R²0.790
Last Updated2026-09-27

Additional performance metrics

Mean Absolute Percentage Error22.2%Average percentage error across all predictions
Forecast Standard Deviation$444837Spread of prediction errors
Coefficient of Variation53.3%Relative variability of predictions
10th Percentile Error %2.4%10% of predictions have error less than this
90th Percentile Error %48.4%90% of predictions have error less than this