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) | 13.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.810 | How much of the price variation our model explains |
| Root Mean Square Error | $212284 | Average prediction error in dollars |
| Mean Absolute Error | $144276 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 11.9% |
| Within 10% | 35.8% |
| Within 15% | 59.7% |
| Within 20% | 76.1% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$60410 | Average prediction bias (+ means overestimate) |
| Median Bias | -$28753 | Typical prediction bias |
| Over-prediction Rate | 43.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 56.7% | 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 | $32899 | $43277 | $85243 | $156700 | $324821 | $531824 |
| Training Samples | 264 |
| Testing Samples | 67 |
| Training R² | 0.880 |
| Testing R² | 0.810 |
| Last Updated | 2025-06-30 |
| Mean Absolute Percentage Error | 16.3% | Average percentage error across all predictions |
| Forecast Standard Deviation | $203507 | Spread of prediction errors |
| Coefficient of Variation | 26.8% | Relative variability of predictions |
| 10th Percentile Error % | 4.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 35.2% | 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) | 11.4% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.790 | How much of the price variation our model explains |
| Root Mean Square Error | $169801 | Average prediction error in dollars |
| Mean Absolute Error | $123064 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 17.2% |
| Within 10% | 45.3% |
| Within 15% | 57.8% |
| Within 20% | 68.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$23950 | Average prediction bias (+ means overestimate) |
| Median Bias | +$27868 | Typical prediction bias |
| Over-prediction Rate | 56.2% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 43.8% | 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 | $20356 | $44607 | $92364 | $149877 | $286258 | $384741 |
| Training Samples | 254 |
| Testing Samples | 64 |
| Training R² | 0.870 |
| Testing R² | 0.790 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 15.0% | Average percentage error across all predictions |
| Forecast Standard Deviation | $168103 | Spread of prediction errors |
| Coefficient of Variation | 22.2% | Relative variability of predictions |
| 10th Percentile Error % | 3.0% | 10% of predictions have error less than this |
| 90th Percentile Error % | 30.5% | 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 |