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) | 8.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.650 | How much of the price variation our model explains |
| Root Mean Square Error | $147700 | Average prediction error in dollars |
| Mean Absolute Error | $84107 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 28.6% |
| Within 10% | 54.8% |
| Within 15% | 69.3% |
| Within 20% | 78.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$20285 | Average prediction bias (+ means overestimate) |
| Median Bias | -$4424 | Typical prediction bias |
| Over-prediction Rate | 47.4% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.6% | 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 | $8112 | $22659 | $48936 | $94840 | $181478 | $264584 |
| Training Samples | 2208 |
| Testing Samples | 553 |
| Training R² | 0.730 |
| Testing R² | 0.650 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 14.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $146301 | Spread of prediction errors |
| Coefficient of Variation | 26.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 33.6% | 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) | 9.3% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.660 | How much of the price variation our model explains |
| Root Mean Square Error | $156097 | Average prediction error in dollars |
| Mean Absolute Error | $89615 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 28.2% |
| Within 10% | 51.7% |
| Within 15% | 68.0% |
| Within 20% | 78.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$20103 | Average prediction bias (+ means overestimate) |
| Median Bias | -$3129 | Typical prediction bias |
| Over-prediction Rate | 48.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 51.4% | 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 | $8604 | $22458 | $54427 | $101293 | $186056 | $270682 |
| Training Samples | 2208 |
| Testing Samples | 553 |
| Training R² | 0.730 |
| Testing R² | 0.660 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 14.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $154797 | Spread of prediction errors |
| Coefficient of Variation | 26.3% | Relative variability of predictions |
| 10th Percentile Error % | 1.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 31.9% | 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 |