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) | 7.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.860 | How much of the price variation our model explains |
| Root Mean Square Error | $314,210 | Average prediction error in the local currency |
| Mean Absolute Error | $109,027 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 35.0% |
| Within 10% | 58.2% |
| Within 15% | 73.6% |
| Within 20% | 81.9% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$20,392 | Average prediction bias (+ means overestimate) |
| Median Bias | -$2,165 | Typical prediction bias |
| Over-prediction Rate | 48.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 51.7% | 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 | $6,298 | $15,555 | $37,236 | $88,192 | $217,028 | $407,015 |
| Training Samples | 59717 |
| Testing Samples | 6141 |
| Training R² | 0.930 |
| Testing R² | 0.860 |
| Last Updated | 2026-10-24 |
| Mean Absolute Percentage Error | 13.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $313,548 | Spread of prediction errors |
| Coefficient of Variation | 49.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 29.3% | 90% of predictions have error less than this |