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) | 5.6% | 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 | $61653 | Average prediction error in dollars |
| Mean Absolute Error | $39977 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 43.1% |
| Within 10% | 67.6% |
| Within 15% | 82.2% |
| Within 20% | 88.3% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$2590 | Average prediction bias (+ means overestimate) |
| Median Bias | +$4385 | Typical prediction bias |
| Over-prediction Rate | 53.4% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 46.6% | 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 | $4413 | $10465 | $25901 | $47529 | $96670 | $134313 |
| Training Samples | 1371 |
| Testing Samples | 343 |
| Training R² | 0.930 |
| Testing R² | 0.840 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 10.0% | Average percentage error across all predictions |
| Forecast Standard Deviation | $61599 | Spread of prediction errors |
| Coefficient of Variation | 14.0% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 21.9% | 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) | 5.9% | 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 | $62298 | Average prediction error in dollars |
| Mean Absolute Error | $40479 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 42.6% |
| Within 10% | 70.0% |
| Within 15% | 81.6% |
| Within 20% | 87.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$3224 | Average prediction bias (+ means overestimate) |
| Median Bias | +$5170 | Typical prediction bias |
| Over-prediction Rate | 55.4% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 44.6% | 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 | $3337 | $11163 | $25362 | $50025 | $93010 | $134583 |
| Training Samples | 1371 |
| Testing Samples | 343 |
| Training R² | 0.930 |
| Testing R² | 0.840 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 10.1% | Average percentage error across all predictions |
| Forecast Standard Deviation | $62215 | Spread of prediction errors |
| Coefficient of Variation | 14.1% | Relative variability of predictions |
| 10th Percentile Error % | 1.0% | 10% of predictions have error less than this |
| 90th Percentile Error % | 21.7% | 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) | 7.4% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.610 | How much of the price variation our model explains |
| Root Mean Square Error | $384 | Average prediction error in dollars |
| Mean Absolute Error | $275 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 33.5% |
| Within 10% | 59.5% |
| Within 15% | 78.1% |
| Within 20% | 84.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | +$8 | Average prediction bias (+ means overestimate) |
| Median Bias | +$4 | Typical prediction bias |
| Over-prediction Rate | 50.5% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 49.5% | 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 | $40 | $93 | $196 | $364 | $589 | $870 |
| Training Samples | 1549 |
| Testing Samples | 388 |
| Training R² | 0.690 |
| Testing R² | 0.610 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 10.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $384 | Spread of prediction errors |
| Coefficient of Variation | 14.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.5% | 10% of predictions have error less than this |
| 90th Percentile Error % | 25.1% | 90% of predictions have error less than this |