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) | 4.4% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.950 | How much of the price variation our model explains |
| Root Mean Square Error | $142206 | Average prediction error in dollars |
| Mean Absolute Error | $73281 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 53.7% |
| Within 10% | 80.4% |
| Within 15% | 92.1% |
| Within 20% | 95.6% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$11136 | Average prediction bias (+ means overestimate) |
| Median Bias | -$1283 | Typical prediction bias |
| Over-prediction Rate | 48.7% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 51.3% | 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 | $5927 | $15624 | $37209 | $84757 | $172149 | $237285 |
| Training Samples | 3351 |
| Testing Samples | 838 |
| Training R² | 1.000 |
| Testing R² | 0.950 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 6.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $141769 | Spread of prediction errors |
| Coefficient of Variation | 14.7% | Relative variability of predictions |
| 10th Percentile Error % | 0.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 13.9% | 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) | 4.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.950 | How much of the price variation our model explains |
| Root Mean Square Error | $146928 | Average prediction error in dollars |
| Mean Absolute Error | $76374 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 53.5% |
| Within 10% | 80.1% |
| Within 15% | 90.9% |
| Within 20% | 95.7% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$10107 | Average prediction bias (+ means overestimate) |
| Median Bias | +$1108 | Typical prediction bias |
| Over-prediction Rate | 50.8% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.2% | 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 | $7305 | $16855 | $37996 | $86339 | $169009 | $254307 |
| Training Samples | 3351 |
| Testing Samples | 838 |
| Training R² | 1.000 |
| Testing R² | 0.950 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 6.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $146580 | Spread of prediction errors |
| Coefficient of Variation | 14.8% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 14.1% | 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 |