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) | 10.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.740 | How much of the price variation our model explains |
| Root Mean Square Error | $271908 | Average prediction error in dollars |
| Mean Absolute Error | $198970 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 14.3% |
| Within 10% | 46.4% |
| Within 15% | 57.1% |
| Within 20% | 71.4% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$21515 | Average prediction bias (+ means overestimate) |
| Median Bias | +$55356 | Typical prediction bias |
| Over-prediction Rate | 64.3% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 35.7% | 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 | $47028 | $62076 | $140327 | $242588 | $397263 | $517186 |
| Training Samples | 109 |
| Testing Samples | 28 |
| Training R² | 0.820 |
| Testing R² | 0.740 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 17.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $271055 | Spread of prediction errors |
| Coefficient of Variation | 22.3% | Relative variability of predictions |
| 10th Percentile Error % | 4.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 38.9% | 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) | 10.3% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.700 | How much of the price variation our model explains |
| Root Mean Square Error | $300414 | Average prediction error in dollars |
| Mean Absolute Error | $213050 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 10.7% |
| Within 10% | 50.0% |
| Within 15% | 57.1% |
| Within 20% | 71.4% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$22977 | Average prediction bias (+ means overestimate) |
| Median Bias | +$54908 | Typical prediction bias |
| Over-prediction Rate | 57.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 42.9% | 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 | $47827 | $75392 | $141159 | $317130 | $442405 | $470637 |
| Training Samples | 109 |
| Testing Samples | 28 |
| Training R² | 0.780 |
| Testing R² | 0.700 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 18.4% | Average percentage error across all predictions |
| Forecast Standard Deviation | $299534 | Spread of prediction errors |
| Coefficient of Variation | 24.9% | Relative variability of predictions |
| 10th Percentile Error % | 5.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 37.0% | 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 |