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) | 4.2% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.960 | How much of the price variation our model explains |
| Root Mean Square Error | $147525 | Average prediction error in dollars |
| Mean Absolute Error | $81573 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 56.1% |
| Within 10% | 80.3% |
| Within 15% | 90.3% |
| Within 20% | 95.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$8075 | Average prediction bias (+ means overestimate) |
| Median Bias | -$421 | Typical prediction bias |
| Over-prediction Rate | 49.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 50.7% | 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 | $5935 | $15637 | $38946 | $91962 | $208622 | $298241 |
| Training Samples | 9176 |
| Testing Samples | 2294 |
| Training R² | 1.000 |
| Testing R² | 0.960 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 6.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $147304 | Spread of prediction errors |
| Coefficient of Variation | 13.4% | Relative variability of predictions |
| 10th Percentile Error % | 0.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 14.8% | 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) | 4.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.950 | How much of the price variation our model explains |
| Root Mean Square Error | $159135 | Average prediction error in dollars |
| Mean Absolute Error | $86355 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 53.8% |
| Within 10% | 79.4% |
| Within 15% | 90.2% |
| Within 20% | 95.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$6786 | Average prediction bias (+ means overestimate) |
| Median Bias | -$1543 | Typical prediction bias |
| Over-prediction Rate | 49.2% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 50.8% | 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 | $6266 | $16326 | $41032 | $99488 | $217098 | $299364 |
| Training Samples | 9176 |
| Testing Samples | 2294 |
| Training R² | 0.990 |
| Testing R² | 0.950 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 6.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $158990 | Spread of prediction errors |
| Coefficient of Variation | 14.1% | Relative variability of predictions |
| 10th Percentile Error % | 0.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 14.8% | 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 |