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) | 8.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.830 | How much of the price variation our model explains |
| Root Mean Square Error | $71221 | Average prediction error in dollars |
| Mean Absolute Error | $52459 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 29.4% |
| Within 10% | 55.5% |
| Within 15% | 65.5% |
| Within 20% | 79.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$7676 | Average prediction bias (+ means overestimate) |
| Median Bias | +$4482 | Typical prediction bias |
| Over-prediction Rate | 51.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.7% | 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 | $8700 | $17278 | $36124 | $74622 | $107155 | $142690 |
| Training Samples | 476 |
| Testing Samples | 119 |
| Training R² | 0.900 |
| Testing R² | 0.830 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 15.0% | Average percentage error across all predictions |
| Forecast Standard Deviation | $70806 | Spread of prediction errors |
| Coefficient of Variation | 16.3% | Relative variability of predictions |
| 10th Percentile Error % | 2.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 30.1% | 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) | 8.7% | 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 | $80605 | Average prediction error in dollars |
| Mean Absolute Error | $56789 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 30.3% |
| Within 10% | 53.8% |
| Within 15% | 67.2% |
| Within 20% | 75.6% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$8495 | Average prediction bias (+ means overestimate) |
| Median Bias | +$6078 | Typical prediction bias |
| Over-prediction Rate | 56.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 43.7% | 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 | $6308 | $13719 | $38419 | $76887 | $134674 | $172608 |
| Training Samples | 476 |
| Testing Samples | 119 |
| Training R² | 0.870 |
| Testing R² | 0.810 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 15.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $80156 | Spread of prediction errors |
| Coefficient of Variation | 17.7% | Relative variability of predictions |
| 10th Percentile Error % | 1.6% | 10% of predictions have error less than this |
| 90th Percentile Error % | 32.2% | 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) | 7.4% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.610 | How much of the price variation our model explains |
| Root Mean Square Error | $384 | Average prediction error in dollars |
| Mean Absolute Error | $275 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 33.5% |
| Within 10% | 59.5% |
| Within 15% | 78.1% |
| Within 20% | 84.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$8 | Average prediction bias (+ means overestimate) |
| Median Bias | +$4 | Typical prediction bias |
| Over-prediction Rate | 50.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.5% | 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 | $40 | $93 | $196 | $364 | $589 | $870 |
| Training Samples | 1549 |
| Testing Samples | 388 |
| Training R² | 0.690 |
| Testing R² | 0.610 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 10.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $384 | Spread of prediction errors |
| Coefficient of Variation | 14.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.1% | 90% of predictions have error less than this |