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) | 5.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.920 | How much of the price variation our model explains |
| Root Mean Square Error | $202387 | Average prediction error in dollars |
| Mean Absolute Error | $102198 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 48.7% |
| Within 10% | 74.1% |
| Within 15% | 85.1% |
| Within 20% | 91.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$14533 | Average prediction bias (+ means overestimate) |
| Median Bias | +$439 | 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 | $7019 | $18626 | $45919 | $104467 | $233442 | $388261 |
| Training Samples | 6674 |
| Testing Samples | 1669 |
| Training R² | 1.000 |
| Testing R² | 0.920 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 8.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $201864 | Spread of prediction errors |
| Coefficient of Variation | 19.5% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 18.8% | 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) | 5.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.910 | How much of the price variation our model explains |
| Root Mean Square Error | $208128 | Average prediction error in dollars |
| Mean Absolute Error | $103579 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 49.3% |
| Within 10% | 73.7% |
| Within 15% | 85.7% |
| Within 20% | 91.4% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$9985 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2227 | Typical prediction bias |
| Over-prediction Rate | 51.9% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.1% | 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 | $7109 | $18498 | $47077 | $109628 | $238585 | $375336 |
| Training Samples | 6675 |
| Testing Samples | 1669 |
| Training R² | 0.980 |
| Testing R² | 0.910 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 8.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $207888 | Spread of prediction errors |
| Coefficient of Variation | 19.5% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 18.7% | 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 |