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) | 4.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.950 | How much of the price variation our model explains |
| Root Mean Square Error | $90,616 | Average prediction error in the local currency |
| Mean Absolute Error | $52,705 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 54.1% |
| Within 10% | 83.8% |
| Within 15% | 93.1% |
| Within 20% | 97.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$4,253 | Average prediction bias (+ means overestimate) |
| Median Bias | -$1,924 | Typical prediction bias |
| Over-prediction Rate | 47.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.5% | 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 | $5,230 | $14,192 | $30,285 | $59,996 | $121,701 | $175,911 |
| Training Samples | 4569 |
| Testing Samples | 691 |
| Training R² | 0.980 |
| Testing R² | 0.950 |
| Last Updated | 2026-11-11 |
| Mean Absolute Percentage Error | 5.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $90,516 | Spread of prediction errors |
| Coefficient of Variation | 11.5% | Relative variability of predictions |
| 10th Percentile Error % | 0.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 12.6% | 90% of predictions have error less than this |