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) | 9.7% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.770 | How much of the price variation our model explains |
| Root Mean Square Error | $226767 | Average prediction error in dollars |
| Mean Absolute Error | $125210 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 28.4% |
| Within 10% | 50.9% |
| Within 15% | 65.7% |
| Within 20% | 75.4% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$24819 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2437 | Typical prediction bias |
| Over-prediction Rate | 51.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.9% | 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 | $11174 | $28763 | $67409 | $143013 | $281723 | $433044 |
| Training Samples | 258164 |
| Testing Samples | 64541 |
| Training R² | 0.850 |
| Testing R² | 0.770 |
| Last Updated | 2025-07-05 |
| Mean Absolute Percentage Error | 16.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $225405 | Spread of prediction errors |
| Coefficient of Variation | 28.9% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 36.7% | 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) | 9.7% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.770 | How much of the price variation our model explains |
| Root Mean Square Error | $234695 | Average prediction error in dollars |
| Mean Absolute Error | $131112 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 29.0% |
| Within 10% | 51.1% |
| Within 15% | 66.1% |
| Within 20% | 75.7% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$24817 | Average prediction bias (+ means overestimate) |
| Median Bias | +$1533 | Typical prediction bias |
| Over-prediction Rate | 50.7% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.3% | 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 | $11771 | $30074 | $70874 | $152006 | $297122 | $449817 |
| Training Samples | 258164 |
| Testing Samples | 64541 |
| Training R² | 0.870 |
| Testing R² | 0.770 |
| Last Updated | 2025-07-05 |
| Mean Absolute Percentage Error | 16.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $233380 | Spread of prediction errors |
| Coefficient of Variation | 28.1% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 36.9% | 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) | 8.8% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.540 | How much of the price variation our model explains |
| Root Mean Square Error | $459 | Average prediction error in dollars |
| Mean Absolute Error | $333 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 30.7% |
| Within 10% | 54.2% |
| Within 15% | 70.5% |
| Within 20% | 83.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$41 | Average prediction bias (+ means overestimate) |
| Median Bias | +$1 | Typical prediction bias |
| Over-prediction Rate | 50.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 50.0% | 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 | $39 | $109 | $251 | $449 | $734 | $966 |
| Training Samples | 3655 |
| Testing Samples | 914 |
| Training R² | 0.670 |
| Testing R² | 0.540 |
| Last Updated | 2025-07-05 |
| Mean Absolute Percentage Error | 11.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $457 | Spread of prediction errors |
| Coefficient of Variation | 16.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.7% | 90% of predictions have error less than this |