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AVM model details: Maryland, United States

Performance metrics for AVMs in this location.

Model type

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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)8.3%Half of our predictions are within this percentage of the actual value
Testing R² Score0.850How much of the price variation our model explains
Root Mean Square Error$283,655Average prediction error in the local currency
Mean Absolute Error$77,270Average absolute difference between predicted and actual

Accuracy distribution

Percentage of predictions within various error ranges

Within 5%33.3%
Within 10%57.2%
Within 15%71.7%
Within 20%80.2%

Prediction bias analysis

Does the model tend to overestimate or underestimate?

Mean Bias-$23,638Average prediction bias (+ means overestimate)
Median Bias-$3,712Typical prediction bias
Over-prediction Rate46.8%Percentage of predictions that are above the actual value
Under-prediction Rate53.2%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$5,762$14,924$34,328$69,837$134,314$222,544

Model configuration & training

Training Samples370679
Testing Samples15865
Training R²0.950
Testing R²0.850
Last Updated2026-11-11

Additional performance metrics

Mean Absolute Percentage Error15.5%Average percentage error across all predictions
Forecast Standard Deviation$282,670Spread of prediction errors
Coefficient of Variation55.9%Relative variability of predictions
10th Percentile Error %1.4%10% of predictions have error less than this
90th Percentile Error %31.8%90% of predictions have error less than this