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AVM model details: Richmond, CA

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)11.9%Half of our predictions are within this percentage of the actual value
Testing R² Score0.860How much of the price variation our model explains
Root Mean Square Error$482175Average prediction error in dollars
Mean Absolute Error$205709Average absolute difference between predicted and actual

Accuracy distribution

Percentage of predictions within various error ranges

Within 5%23.2%
Within 10%43.4%
Within 15%59.7%
Within 20%71.7%

Prediction bias analysis

Does the model tend to overestimate or underestimate?

Mean Bias-$87855Average prediction bias (+ means overestimate)
Median Bias-$34145Typical prediction bias
Over-prediction Rate39.4%Percentage of predictions that are above the actual value
Under-prediction Rate60.6%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$15978$41971$99255$216521$453627$698129

Model configuration & training

Training Samples346726
Testing Samples25260
Training R²0.960
Testing R²0.860
Last Updated2026-09-03

Additional performance metrics

Mean Absolute Percentage Error16.6%Average percentage error across all predictions
Forecast Standard Deviation$474104Spread of prediction errors
Coefficient of Variation43.0%Relative variability of predictions
10th Percentile Error %2.1%10% of predictions have error less than this
90th Percentile Error %33.6%90% of predictions have error less than this