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) | 3.9% | 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 | $68,985 | Average prediction error in the local currency |
| Mean Absolute Error | $38,948 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 59.7% |
| Within 10% | 85.7% |
| Within 15% | 94.0% |
| Within 20% | 97.4% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$8,837 | Average prediction bias (+ means overestimate) |
| Median Bias | +$84 | Typical prediction bias |
| Over-prediction Rate | 50.2% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.8% | 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 | $3,539 | $10,496 | $23,123 | $45,859 | $86,105 | $122,102 |
| Training Samples | 8966 |
| Testing Samples | 616 |
| Training R² | 0.990 |
| Testing R² | 0.950 |
| Last Updated | 2026-10-24 |
| Mean Absolute Percentage Error | 5.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $68,416 | Spread of prediction errors |
| Coefficient of Variation | 10.3% | Relative variability of predictions |
| 10th Percentile Error % | 0.6% | 10% of predictions have error less than this |
| 90th Percentile Error % | 12.2% | 90% of predictions have error less than this |