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) | 6.2% | 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 | $138228 | Average prediction error in dollars |
| Mean Absolute Error | $45954 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 42.9% |
| Within 10% | 67.8% |
| Within 15% | 82.1% |
| Within 20% | 88.6% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$7060 | Average prediction bias (+ means overestimate) |
| Median Bias | +$1244 | Typical prediction bias |
| Over-prediction Rate | 51.7% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.3% | 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 | $3909 | $9904 | $22835 | $44043 | $81015 | $129604 |
| Training Samples | 38853 |
| Testing Samples | 4739 |
| Training R² | 0.930 |
| Testing R² | 0.870 |
| Last Updated | 2026-09-27 |
| Mean Absolute Percentage Error | 10.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $138048 | Spread of prediction errors |
| Coefficient of Variation | 33.1% | Relative variability of predictions |
| 10th Percentile Error % | 1.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 21.8% | 90% of predictions have error less than this |