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AVM model details: Georgia, 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)9.8%Half of our predictions are within this percentage of the actual value
Testing R² Score0.840How much of the price variation our model explains
Root Mean Square Error$297,570Average prediction error in the local currency
Mean Absolute Error$93,360Average absolute difference between predicted and actual

Accuracy distribution

Percentage of predictions within various error ranges

Within 5%28.5%
Within 10%50.9%
Within 15%65.1%
Within 20%74.6%

Prediction bias analysis

Does the model tend to overestimate or underestimate?

Mean Bias-$21,713Average prediction bias (+ means overestimate)
Median Bias-$1,081Typical prediction bias
Over-prediction Rate49.1%Percentage of predictions that are above the actual value
Under-prediction Rate50.9%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$5,995$16,026$37,085$83,495$178,286$303,271

Model configuration & training

Training Samples210804
Testing Samples17177
Training R²0.910
Testing R²0.840
Last Updated2026-10-12

Additional performance metrics

Mean Absolute Percentage Error18.4%Average percentage error across all predictions
Forecast Standard Deviation$296,777Spread of prediction errors
Coefficient of Variation58.2%Relative variability of predictions
10th Percentile Error %1.6%10% of predictions have error less than this
90th Percentile Error %37.7%90% of predictions have error less than this