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) | 10.5% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.530 | How much of the price variation our model explains |
| Root Mean Square Error | $258893 | Average prediction error in dollars |
| Mean Absolute Error | $162448 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 25.4% |
| Within 10% | 45.6% |
| Within 15% | 63.3% |
| Within 20% | 72.2% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$37295 | Average prediction bias (+ means overestimate) |
| Median Bias | +$14323 | Typical prediction bias |
| Over-prediction Rate | 56.8% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 43.2% | 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 | $13306 | $42547 | $92788 | $202017 | $389582 | $589803 |
| Training Samples | 672 |
| Testing Samples | 169 |
| Training R² | 0.560 |
| Testing R² | 0.530 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 16.8% | Average percentage error across all predictions |
| Forecast Standard Deviation | $256193 | Spread of prediction errors |
| Coefficient of Variation | 28.4% | Relative variability of predictions |
| 10th Percentile Error % | 1.7% | 10% of predictions have error less than this |
| 90th Percentile Error % | 37.2% | 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) | 9.9% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.540 | How much of the price variation our model explains |
| Root Mean Square Error | $269901 | Average prediction error in dollars |
| Mean Absolute Error | $171429 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 24.3% |
| Within 10% | 50.3% |
| Within 15% | 64.5% |
| Within 20% | 72.8% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$30422 | Average prediction bias (+ means overestimate) |
| Median Bias | +$5187 | Typical prediction bias |
| Over-prediction Rate | 52.1% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 47.9% | 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 | $12693 | $40870 | $93625 | $221931 | $400035 | $622128 |
| Training Samples | 672 |
| Testing Samples | 169 |
| Training R² | 0.630 |
| Testing R² | 0.540 |
| Last Updated | 2025-07-02 |
| Mean Absolute Percentage Error | 16.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $268181 | Spread of prediction errors |
| Coefficient of Variation | 27.8% | Relative variability of predictions |
| 10th Percentile Error % | 1.4% | 10% of predictions have error less than this |
| 90th Percentile Error % | 38.6% | 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 |