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) | 6.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.810 | How much of the price variation our model explains |
| Root Mean Square Error | $160235 | Average prediction error in dollars |
| Mean Absolute Error | $84002 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 40.5% |
| Within 10% | 68.2% |
| Within 15% | 83.2% |
| Within 20% | 90.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$274 | Average prediction bias (+ means overestimate) |
| Median Bias | +$1122 | Typical prediction bias |
| Over-prediction Rate | 50.9% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.1% | 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 | $7504 | $21111 | $44591 | $89826 | $178570 | $272410 |
| Training Samples | 7306 |
| Testing Samples | 1184 |
| Training R² | 0.980 |
| Testing R² | 0.810 |
| Last Updated | 2026-09-27 |
| Mean Absolute Percentage Error | 10.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $160235 | Spread of prediction errors |
| Coefficient of Variation | 20.0% | Relative variability of predictions |
| 10th Percentile Error % | 1.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 19.7% | 90% of predictions have error less than this |