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) | 7.5% | 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 | $122591 | Average prediction error in dollars |
| Mean Absolute Error | $56186 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 30.6% |
| Within 10% | 59.2% |
| Within 15% | 72.2% |
| Within 20% | 81.6% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$8614 | Average prediction bias (+ means overestimate) |
| Median Bias | +$5946 | Typical prediction bias |
| Over-prediction Rate | 55.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 44.9% | 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 | $6384 | $14761 | $28925 | $59051 | $118228 | $168024 |
| Training Samples | 977 |
| Testing Samples | 245 |
| Training R² | 0.710 |
| Testing R² | 0.700 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 15.0% | Average percentage error across all predictions |
| Forecast Standard Deviation | $122288 | Spread of prediction errors |
| Coefficient of Variation | 31.9% | Relative variability of predictions |
| 10th Percentile Error % | 1.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 33.0% | 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) | 6.8% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.770 | How much of the price variation our model explains |
| Root Mean Square Error | $112786 | Average prediction error in dollars |
| Mean Absolute Error | $49851 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 39.6% |
| Within 10% | 62.0% |
| Within 15% | 77.6% |
| Within 20% | 84.5% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$5522 | Average prediction bias (+ means overestimate) |
| Median Bias | +$2647 | Typical prediction bias |
| Over-prediction Rate | 55.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 44.9% | 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 | $4109 | $11908 | $25576 | $49139 | $103028 | $176949 |
| Training Samples | 977 |
| Testing Samples | 245 |
| Training R² | 0.870 |
| Testing R² | 0.770 |
| Last Updated | 2025-07-03 |
| Mean Absolute Percentage Error | 12.6% | Average percentage error across all predictions |
| Forecast Standard Deviation | $112650 | Spread of prediction errors |
| Coefficient of Variation | 28.5% | Relative variability of predictions |
| 10th Percentile Error % | 1.2% | 10% of predictions have error less than this |
| 90th Percentile Error % | 33.1% | 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 |