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) | 6.2% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.600 | How much of the price variation our model explains |
| Root Mean Square Error | $103140 | Average prediction error in dollars |
| Mean Absolute Error | $66387 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 43.4% |
| Within 10% | 68.9% |
| Within 15% | 79.2% |
| Within 20% | 85.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$5914 | Average prediction bias (+ means overestimate) |
| Median Bias | +$5072 | Typical prediction bias |
| Over-prediction Rate | 55.7% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 44.3% | 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 | $5799 | $12938 | $40035 | $89048 | $163993 | $195628 |
| Training Samples | 424 |
| Testing Samples | 106 |
| Training R² | 0.690 |
| Testing R² | 0.600 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 11.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $102970 | Spread of prediction errors |
| Coefficient of Variation | 15.8% | Relative variability of predictions |
| 10th Percentile Error % | 0.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 24.5% | 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) | 6.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.600 | How much of the price variation our model explains |
| Root Mean Square Error | $109534 | Average prediction error in dollars |
| Mean Absolute Error | $75018 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 38.7% |
| Within 10% | 61.3% |
| Within 15% | 74.5% |
| Within 20% | 85.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$3795 | Average prediction bias (+ means overestimate) |
| Median Bias | +$6939 | Typical prediction bias |
| Over-prediction Rate | 56.6% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 43.4% | 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 | $8094 | $19435 | $49353 | $91890 | $183908 | $207580 |
| Training Samples | 424 |
| Testing Samples | 106 |
| Training R² | 0.680 |
| Testing R² | 0.600 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 12.0% | Average percentage error across all predictions |
| Forecast Standard Deviation | $109468 | Spread of prediction errors |
| Coefficient of Variation | 15.8% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.6% | 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 |