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) | 6.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.800 | How much of the price variation our model explains |
| Root Mean Square Error | $146740 | Average prediction error in dollars |
| Mean Absolute Error | $80902 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 39.7% |
| Within 10% | 65.7% |
| Within 15% | 80.7% |
| Within 20% | 88.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$10597 | Average prediction bias (+ means overestimate) |
| Median Bias | +$3160 | Typical prediction bias |
| Over-prediction Rate | 52.8% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 47.2% | 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 | $6990 | $19304 | $45844 | $94823 | $175876 | $245726 |
| Training Samples | 3548 |
| Testing Samples | 887 |
| Training R² | 0.900 |
| Testing R² | 0.800 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 9.9% | Average percentage error across all predictions |
| Forecast Standard Deviation | $146357 | Spread of prediction errors |
| Coefficient of Variation | 19.6% | Relative variability of predictions |
| 10th Percentile Error % | 0.9% | 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 list price of properties in this location based on historical data and market trends.
| Median Absolute Percentage Error (M. MAPE) | 6.7% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.790 | How much of the price variation our model explains |
| Root Mean Square Error | $159964 | Average prediction error in dollars |
| Mean Absolute Error | $89308 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 40.0% |
| Within 10% | 63.9% |
| Within 15% | 78.4% |
| Within 20% | 86.9% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$12781 | Average prediction bias (+ means overestimate) |
| Median Bias | +$6533 | Typical prediction bias |
| Over-prediction Rate | 53.8% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 46.2% | 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 | $9379 | $21612 | $48174 | $106201 | $195627 | $279464 |
| Training Samples | 3548 |
| Testing Samples | 887 |
| Training R² | 0.890 |
| Testing R² | 0.790 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 10.2% | Average percentage error across all predictions |
| Forecast Standard Deviation | $159452 | Spread of prediction errors |
| Coefficient of Variation | 20.2% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 22.6% | 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 |