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) | 6.3% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.920 | How much of the price variation our model explains |
| Root Mean Square Error | $186,322 | Average prediction error in the local currency |
| Mean Absolute Error | $67,814 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 40.8% |
| Within 10% | 68.2% |
| Within 15% | 81.6% |
| Within 20% | 89.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$12,743 | Average prediction bias (+ means overestimate) |
| Median Bias | -$2,271 | Typical prediction bias |
| Over-prediction Rate | 47.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.4% | 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 | $5,014 | $11,667 | $27,987 | $58,853 | $126,666 | $221,583 |
| Training Samples | 4027 |
| Testing Samples | 1606 |
| Training R² | 0.970 |
| Testing R² | 0.920 |
| Last Updated | 2026-10-12 |
| Mean Absolute Percentage Error | 9.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $185,886 | Spread of prediction errors |
| Coefficient of Variation | 34.0% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 21.4% | 90% of predictions have error less than this |