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) | 5.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.890 | How much of the price variation our model explains |
| Root Mean Square Error | $139230 | Average prediction error in dollars |
| Mean Absolute Error | $41894 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 47.0% |
| Within 10% | 70.9% |
| Within 15% | 85.5% |
| Within 20% | 91.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$4631 | Average prediction bias (+ means overestimate) |
| Median Bias | -$735 | Typical prediction bias |
| Over-prediction Rate | 49.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 51.0% | 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 | $3054 | $8104 | $20047 | $40019 | $78681 | $106003 |
| Training Samples | 10855 |
| Testing Samples | 1006 |
| Training R² | 0.940 |
| Testing R² | 0.890 |
| Last Updated | 2026-09-27 |
| Mean Absolute Percentage Error | 10.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $139153 | Spread of prediction errors |
| Coefficient of Variation | 33.8% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 18.6% | 90% of predictions have error less than this |