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) | 8.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.730 | How much of the price variation our model explains |
| Root Mean Square Error | $110686 | Average prediction error in dollars |
| Mean Absolute Error | $51282 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 30.1% |
| Within 10% | 53.4% |
| Within 15% | 67.6% |
| Within 20% | 77.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$12620 | Average prediction bias (+ means overestimate) |
| Median Bias | +$807 | Typical prediction bias |
| Over-prediction Rate | 50.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.4% | 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 | $4929 | $12014 | $25580 | $56892 | $103715 | $174678 |
| Training Samples | 1712 |
| Testing Samples | 429 |
| Training R² | 0.820 |
| Testing R² | 0.730 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 15.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $109964 | Spread of prediction errors |
| Coefficient of Variation | 34.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 32.0% | 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) | 8.2% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.760 | How much of the price variation our model explains |
| Root Mean Square Error | $115004 | Average prediction error in dollars |
| Mean Absolute Error | $49134 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 34.0% |
| Within 10% | 57.3% |
| Within 15% | 70.6% |
| Within 20% | 80.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$11312 | Average prediction bias (+ means overestimate) |
| Median Bias | -$226 | Typical prediction bias |
| Over-prediction Rate | 49.9% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 50.1% | 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 | $4336 | $10007 | $25316 | $48616 | $98621 | $161929 |
| Training Samples | 1712 |
| Testing Samples | 429 |
| Training R² | 0.830 |
| Testing R² | 0.760 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 14.3% | Average percentage error across all predictions |
| Forecast Standard Deviation | $114446 | Spread of prediction errors |
| Coefficient of Variation | 34.9% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 30.3% | 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 |