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) | 9.6% | 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 | $225296 | Average prediction error in dollars |
| Mean Absolute Error | $124191 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 28.9% |
| Within 10% | 51.4% |
| Within 15% | 66.0% |
| Within 20% | 75.9% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$24465 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2534 | 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 | $10810 | $28432 | $66882 | $142055 | $276268 | $430611 |
| Training Samples | 257900 |
| Testing Samples | 64476 |
| Training R² | 0.860 |
| Testing R² | 0.770 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 16.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $223964 | Spread of prediction errors |
| Coefficient of Variation | 28.6% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 36.3% | 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) | 10.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.330 | How much of the price variation our model explains |
| Root Mean Square Error | $227646 | Average prediction error in dollars |
| Mean Absolute Error | $141159 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 20.0% |
| Within 10% | 48.0% |
| Within 15% | 52.0% |
| Within 20% | 68.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$39496 | Average prediction bias (+ means overestimate) |
| Median Bias | +$28396 | Typical prediction bias |
| Over-prediction Rate | 56.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 44.0% | 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 | $26064 | $47262 | $79914 | $129705 | $344483 | $450167 |
| Training Samples | 96 |
| Testing Samples | 25 |
| Training R² | 0.370 |
| Testing R² | 0.330 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 18.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $224194 | Spread of prediction errors |
| Coefficient of Variation | 33.4% | Relative variability of predictions |
| 10th Percentile Error % | 3.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 46.6% | 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 |