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) | 5.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.990 | How much of the price variation our model explains |
| Root Mean Square Error | $19825 | Average prediction error in dollars |
| Mean Absolute Error | $16609 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 75.0% |
| Within 10% | 100.0% |
| Within 15% | 100.0% |
| Within 20% | 100.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$288 | Average prediction bias (+ means overestimate) |
| Median Bias | +$303 | Typical prediction bias |
| Over-prediction Rate | 50.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 50.0% | 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 | $5668 | $5940 | $16623 | $27292 | $27539 | $27621 |
| Training Samples | 2266 |
| Testing Samples | 4 |
| Training R² | 0.960 |
| Testing R² | 0.990 |
| Last Updated | 2026-09-08 |
| Mean Absolute Percentage Error | 3.2% | Average percentage error across all predictions |
| Forecast Standard Deviation | $19822 | Spread of prediction errors |
| Coefficient of Variation | 2.9% | Relative variability of predictions |
| 10th Percentile Error % | 1.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 6.6% | 90% of predictions have error less than this |