Performance metrics for AVMs in this location.
Select the type of valuation model you want to view.
Estimates list prices in this location from historical data and market trends.
| Median Absolute Percentage Error (M. MAPE) | 7.2% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.880 | How much of the price variation our model explains |
| Root Mean Square Error | $41,498 | Average prediction error in the local currency |
| Mean Absolute Error | $28,564 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 36.2% |
| Within 10% | 64.1% |
| Within 15% | 82.8% |
| Within 20% | 90.7% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$3,186 | Average prediction bias (+ means overestimate) |
| Median Bias | -$2,711 | Typical prediction bias |
| Over-prediction Rate | 46.9% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 53.1% | Percentage of predictions that are below actual value |
The absolute error amount at different percentiles - for example, '90th percentile: $50,000' means 90% of predictions have errors less than $50,000
| Percentile | 10th | 25th | 50th | 75th | 90th | 95th |
|---|---|---|---|---|---|---|
| Error Amount | $4,050 | $9,293 | $20,094 | $37,204 | $60,719 | $78,695 |
| Training Samples | 3100 |
| Testing Samples | 516 |
| Training R² | 0.950 |
| Testing R² | 0.880 |
| Last Updated | 2026-10-24 |
| Mean Absolute Percentage Error | 9.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $41,375 | Spread of prediction errors |
| Coefficient of Variation | 13.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 19.0% | 90% of predictions have error less than this |