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) | 11.0% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.620 | How much of the price variation our model explains |
| Root Mean Square Error | $137098 | Average prediction error in dollars |
| Mean Absolute Error | $93890 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 26.2% |
| Within 10% | 46.4% |
| Within 15% | 63.9% |
| Within 20% | 71.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$16963 | Average prediction bias (+ means overestimate) |
| Median Bias | -$3282 | Typical prediction bias |
| Over-prediction Rate | 47.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.5% | 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 | $7377 | $25504 | $58520 | $128225 | $238117 | $289632 |
| Training Samples | 728 |
| Testing Samples | 183 |
| Training R² | 0.700 |
| Testing R² | 0.620 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 18.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $136045 | Spread of prediction errors |
| Coefficient of Variation | 24.0% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 37.7% | 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) | 9.5% | 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 | $139153 | Average prediction error in dollars |
| Mean Absolute Error | $91957 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 29.9% |
| Within 10% | 51.6% |
| Within 15% | 65.0% |
| Within 20% | 73.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$5543 | Average prediction bias (+ means overestimate) |
| Median Bias | +$12884 | Typical prediction bias |
| Over-prediction Rate | 57.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 42.7% | 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 | $9908 | $27279 | $55984 | $115746 | $220352 | $274946 |
| Training Samples | 625 |
| Testing Samples | 157 |
| Training R² | 0.700 |
| Testing R² | 0.650 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 18.3% | Average percentage error across all predictions |
| Forecast Standard Deviation | $139043 | Spread of prediction errors |
| Coefficient of Variation | 22.5% | Relative variability of predictions |
| 10th Percentile Error % | 2.0% | 10% of predictions have error less than this |
| 90th Percentile Error % | 40.7% | 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 |