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) | 7.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.840 | How much of the price variation our model explains |
| Root Mean Square Error | $131198 | Average prediction error in dollars |
| Mean Absolute Error | $50950 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 38.4% |
| Within 10% | 62.3% |
| Within 15% | 75.9% |
| Within 20% | 84.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$13601 | Average prediction bias (+ means overestimate) |
| Median Bias | -$1697 | Typical prediction bias |
| Over-prediction Rate | 48.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 52.0% | 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 | $4013 | $10275 | $24719 | $50948 | $96795 | $153204 |
| Training Samples | 16856 |
| Testing Samples | 4215 |
| Training R² | 0.900 |
| Testing R² | 0.840 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 11.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $130491 | Spread of prediction errors |
| Coefficient of Variation | 33.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.9% | 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) | 7.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.840 | How much of the price variation our model explains |
| Root Mean Square Error | $134405 | Average prediction error in dollars |
| Mean Absolute Error | $51923 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 37.1% |
| Within 10% | 62.6% |
| Within 15% | 76.4% |
| Within 20% | 84.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$14180 | Average prediction bias (+ means overestimate) |
| Median Bias | -$1206 | 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 | $4213 | $10855 | $24990 | $52246 | $95461 | $154380 |
| Training Samples | 16856 |
| Testing Samples | 4215 |
| Training R² | 0.910 |
| Testing R² | 0.840 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 11.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $133655 | Spread of prediction errors |
| Coefficient of Variation | 33.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.5% | 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 |