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) | 10.7% | 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 | $216803 | Average prediction error in dollars |
| Mean Absolute Error | $120895 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 21.3% |
| Within 10% | 47.4% |
| Within 15% | 61.8% |
| Within 20% | 71.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$17932 | Average prediction bias (+ means overestimate) |
| Median Bias | +$8660 | 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 | $14542 | $29205 | $63470 | $137906 | $268892 | $377310 |
| Training Samples | 2428 |
| Testing Samples | 607 |
| Training R² | 0.760 |
| Testing R² | 0.660 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 17.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $216060 | Spread of prediction errors |
| Coefficient of Variation | 33.5% | Relative variability of predictions |
| 10th Percentile Error % | 2.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 35.6% | 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) | 10.6% | 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 | $224216 | Average prediction error in dollars |
| Mean Absolute Error | $123325 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 25.7% |
| Within 10% | 47.4% |
| Within 15% | 64.6% |
| Within 20% | 72.7% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$9960 | Average prediction bias (+ means overestimate) |
| Median Bias | +$11954 | 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 | $9909 | $26238 | $60327 | $134592 | $288629 | $490295 |
| Training Samples | 2662 |
| Testing Samples | 666 |
| Training R² | 0.740 |
| Testing R² | 0.660 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 17.2% | Average percentage error across all predictions |
| Forecast Standard Deviation | $223995 | Spread of prediction errors |
| Coefficient of Variation | 34.1% | Relative variability of predictions |
| 10th Percentile Error % | 1.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 40.2% | 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 |