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) | 13.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.870 | How much of the price variation our model explains |
| Root Mean Square Error | $2,760,339 | Average prediction error in the local currency |
| Mean Absolute Error | $1,289,174 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 20.2% |
| Within 10% | 38.5% |
| Within 15% | 55.1% |
| Within 20% | 64.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$348,334 | Average prediction bias (+ means overestimate) |
| Median Bias | +$21,132 | Typical prediction bias |
| Over-prediction Rate | 51.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.4% | 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 | $74,278 | $182,236 | $488,443 | $1,232,563 | $3,225,464 | $5,488,348 |
| Training Samples | 2807 |
| Testing Samples | 535 |
| Training R² | 0.980 |
| Testing R² | 0.870 |
| Last Updated | 2026-11-11 |
| Mean Absolute Percentage Error | 20.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $2,738,271 | Spread of prediction errors |
| Coefficient of Variation | 52.3% | Relative variability of predictions |
| 10th Percentile Error % | 2.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 42.5% | 90% of predictions have error less than this |