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) | 8.0% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.750 | How much of the price variation our model explains |
| Root Mean Square Error | $230185 | Average prediction error in dollars |
| Mean Absolute Error | $149037 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 33.8% |
| Within 10% | 55.9% |
| Within 15% | 70.9% |
| Within 20% | 79.1% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$2494 | Average prediction bias (+ means overestimate) |
| Median Bias | +$5952 | Typical prediction bias |
| Over-prediction Rate | 52.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 47.9% | 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 | $15006 | $35776 | $80458 | $198061 | $395722 | $478632 |
| Training Samples | 1359 |
| Testing Samples | 340 |
| Training R² | 0.840 |
| Testing R² | 0.750 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 13.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $230172 | Spread of prediction errors |
| Coefficient of Variation | 20.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 30.2% | 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) | 9.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.760 | How much of the price variation our model explains |
| Root Mean Square Error | $253678 | Average prediction error in dollars |
| Mean Absolute Error | $156421 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 31.5% |
| Within 10% | 52.0% |
| Within 15% | 68.7% |
| Within 20% | 80.9% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$20224 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2391 | 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 | $10365 | $38840 | $94487 | $196531 | $349862 | $561584 |
| Training Samples | 1698 |
| Testing Samples | 425 |
| Training R² | 0.860 |
| Testing R² | 0.760 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 12.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $252871 | Spread of prediction errors |
| Coefficient of Variation | 22.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.0% | 10% of predictions have error less than this |
| 90th Percentile Error % | 26.9% | 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) | 8.4% | 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 |