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) | 10.1% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.810 | How much of the price variation our model explains |
| Root Mean Square Error | $212412 | Average prediction error in dollars |
| Mean Absolute Error | $111472 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 28.5% |
| Within 10% | 49.5% |
| Within 15% | 63.6% |
| Within 20% | 73.1% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$22022 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2001 | Typical prediction bias |
| Over-prediction Rate | 51.2% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 48.8% | 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 | $8631 | $22958 | $55905 | $124183 | $254124 | $395124 |
| Training Samples | 634384 |
| Testing Samples | 158596 |
| Training R² | 0.950 |
| Testing R² | 0.810 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 17.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $211271 | Spread of prediction errors |
| Coefficient of Variation | 31.9% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 40.2% | 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) | 10.8% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.300 | How much of the price variation our model explains |
| Root Mean Square Error | $217226 | Average prediction error in dollars |
| Mean Absolute Error | $133478 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 24.0% |
| Within 10% | 44.0% |
| Within 15% | 56.0% |
| Within 20% | 64.0% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$42593 | Average prediction bias (+ means overestimate) |
| Median Bias | +$16104 | Typical prediction bias |
| Over-prediction Rate | 54.0% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 46.0% | 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 | $15426 | $29796 | $68714 | $180883 | $277094 | $472394 |
| Training Samples | 200 |
| Testing Samples | 50 |
| Training R² | 0.360 |
| Testing R² | 0.300 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 19.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $213010 | Spread of prediction errors |
| Coefficient of Variation | 36.3% | Relative variability of predictions |
| 10th Percentile Error % | 2.9% | 10% of predictions have error less than this |
| 90th Percentile Error % | 47.2% | 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 |