Detailed performance metrics for our automated valuation models in this location.
This model estimates the sale price of properties in this location based on historical data and market trends.
| Median Absolute Percentage Error (M. MAPE) | 5.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.900 | How much of the price variation our model explains |
| Root Mean Square Error | $172286 | Average prediction error in dollars |
| Mean Absolute Error | $82608 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 42.9% |
| Within 10% | 70.4% |
| Within 15% | 82.6% |
| Within 20% | 89.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$7838 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2985 | Typical prediction bias |
| Over-prediction Rate | 52.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 47.4% | 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 | $6013 | $16283 | $38725 | $87158 | $183862 | $282691 |
| Training Samples | 7659 |
| Testing Samples | 1915 |
| Training R² | 1.000 |
| Testing R² | 0.900 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 9.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $172107 | Spread of prediction errors |
| Coefficient of Variation | 22.1% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 21.0% | 90% of predictions have error less than this |
This model estimates the list price of properties in this location based on historical data and market trends.
| Median Absolute Percentage Error (M. MAPE) | 6.0% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.900 | How much of the price variation our model explains |
| Root Mean Square Error | $181668 | Average prediction error in dollars |
| Mean Absolute Error | $87120 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 43.7% |
| Within 10% | 68.6% |
| Within 15% | 82.1% |
| Within 20% | 89.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$10244 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2480 | 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 | $6496 | $17198 | $40610 | $89809 | $186752 | $295318 |
| Training Samples | 7660 |
| Testing Samples | 1915 |
| Training R² | 0.990 |
| Testing R² | 0.900 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 9.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $181379 | Spread of prediction errors |
| Coefficient of Variation | 22.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 20.7% | 90% of predictions have error less than this |
This model estimates the monthly rent of properties in this location based on historical data and market trends.
| Median Absolute Percentage Error (M. MAPE) | 8.4% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.460 | How much of the price variation our model explains |
| Root Mean Square Error | $488 | Average prediction error in dollars |
| Mean Absolute Error | $360 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 24.8% |
| Within 10% | 56.9% |
| Within 15% | 66.7% |
| Within 20% | 81.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$48 | Average prediction bias (+ means overestimate) |
| Median Bias | -$18 | Typical prediction bias |
| Over-prediction Rate | 47.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.9% | 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 | $51 | $135 | $252 | $511 | $887 | $1021 |
| Training Samples | 609 |
| Testing Samples | 153 |
| Training R² | 0.900 |
| Testing R² | 0.460 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 12.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $486 | Spread of prediction errors |
| Coefficient of Variation | 17.3% | Relative variability of predictions |
| 10th Percentile Error % | 2.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 27.5% | 90% of predictions have error less than this |