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) | 7.8% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.770 | How much of the price variation our model explains |
| Root Mean Square Error | $150505 | Average prediction error in dollars |
| Mean Absolute Error | $84648 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 34.1% |
| Within 10% | 59.3% |
| Within 15% | 73.5% |
| Within 20% | 81.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$7271 | Average prediction bias (+ means overestimate) |
| Median Bias | +$930 | Typical prediction bias |
| Over-prediction Rate | 50.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.5% | 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 | $9336 | $21419 | $44321 | $95681 | $194388 | $304040 |
| Training Samples | 3368 |
| Testing Samples | 842 |
| Training R² | 0.870 |
| Testing R² | 0.770 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 12.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $150330 | Spread of prediction errors |
| Coefficient of Variation | 23.7% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 28.4% | 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) | 8.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.750 | How much of the price variation our model explains |
| Root Mean Square Error | $169161 | Average prediction error in dollars |
| Mean Absolute Error | $95188 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 33.8% |
| Within 10% | 56.7% |
| Within 15% | 71.5% |
| Within 20% | 81.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$7980 | Average prediction bias (+ means overestimate) |
| Median Bias | +$815 | Typical prediction bias |
| Over-prediction Rate | 50.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.5% | 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 | $8931 | $20314 | $50674 | $105404 | $221758 | $341042 |
| Training Samples | 3368 |
| Testing Samples | 842 |
| Training R² | 0.850 |
| Testing R² | 0.750 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 13.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $168972 | Spread of prediction errors |
| Coefficient of Variation | 25.2% | Relative variability of predictions |
| 10th Percentile Error % | 1.6% | 10% of predictions have error less than this |
| 90th Percentile Error % | 27.6% | 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 |