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) | 10.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.720 | How much of the price variation our model explains |
| Root Mean Square Error | $215902 | Average prediction error in dollars |
| Mean Absolute Error | $125129 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 29.4% |
| Within 10% | 48.1% |
| Within 15% | 63.1% |
| Within 20% | 71.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$27783 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2772 | Typical prediction bias |
| Over-prediction Rate | 50.9% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.1% | 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 | $12973 | $27627 | $69656 | $146772 | $323260 | $432880 |
| Training Samples | 1538 |
| Testing Samples | 385 |
| Training R² | 0.810 |
| Testing R² | 0.720 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 15.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $214107 | Spread of prediction errors |
| Coefficient of Variation | 29.5% | Relative variability of predictions |
| 10th Percentile Error % | 2.1% | 10% of predictions have error less than this |
| 90th Percentile Error % | 32.6% | 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) | 11.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.700 | How much of the price variation our model explains |
| Root Mean Square Error | $224917 | Average prediction error in dollars |
| Mean Absolute Error | $133004 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 22.3% |
| Within 10% | 45.5% |
| Within 15% | 60.5% |
| Within 20% | 70.1% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$27931 | Average prediction bias (+ means overestimate) |
| Median Bias | +$8041 | Typical prediction bias |
| Over-prediction Rate | 53.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 46.5% | 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 | $15890 | $33023 | $77538 | $157690 | $329717 | $439289 |
| Training Samples | 1538 |
| Testing Samples | 385 |
| Training R² | 0.780 |
| Testing R² | 0.700 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 16.3% | Average percentage error across all predictions |
| Forecast Standard Deviation | $223176 | Spread of prediction errors |
| Coefficient of Variation | 30.0% | Relative variability of predictions |
| 10th Percentile Error % | 2.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 34.4% | 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 |