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) | 10.2% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.650 | How much of the price variation our model explains |
| Root Mean Square Error | $93604 | Average prediction error in dollars |
| Mean Absolute Error | $47842 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 24.7% |
| Within 10% | 49.8% |
| Within 15% | 63.2% |
| Within 20% | 73.1% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$6687 | Average prediction bias (+ means overestimate) |
| Median Bias | +$7167 | Typical prediction bias |
| Over-prediction Rate | 57.8% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 42.2% | 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 | $4828 | $12751 | $26196 | $46883 | $90579 | $147194 |
| Training Samples | 890 |
| Testing Samples | 223 |
| Training R² | 0.680 |
| Testing R² | 0.650 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 16.5% | Average percentage error across all predictions |
| Forecast Standard Deviation | $93364 | Spread of prediction errors |
| Coefficient of Variation | 33.0% | Relative variability of predictions |
| 10th Percentile Error % | 1.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 38.7% | 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) | 10.6% | Half of our predictions are within this percentage of the actual value |
| Testing R² Score | 0.670 | How much of the price variation our model explains |
| Root Mean Square Error | $92529 | Average prediction error in dollars |
| Mean Absolute Error | $49309 | Average absolute difference between predicted and actual |
Percentage of predictions within various error ranges
| Within 5% | 21.5% |
| Within 10% | 48.4% |
| Within 15% | 64.6% |
| Within 20% | 74.9% |
Does the model tend to overestimate or underestimate?
| Mean Bias | -$2826 | Average prediction bias (+ means overestimate) |
| Median Bias | +$15085 | Typical prediction bias |
| Over-prediction Rate | 61.4% | Percentage of predictions that are above the actual value |
| Under-prediction Rate | 38.6% | 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 | $6791 | $15231 | $28656 | $52051 | $91192 | $134825 |
| Training Samples | 890 |
| Testing Samples | 223 |
| Training R² | 0.750 |
| Testing R² | 0.670 |
| Last Updated | 2025-07-01 |
| Mean Absolute Percentage Error | 16.7% | Average percentage error across all predictions |
| Forecast Standard Deviation | $92486 | Spread of prediction errors |
| Coefficient of Variation | 31.6% | Relative variability of predictions |
| 10th Percentile Error % | 2.8% | 10% of predictions have error less than this |
| 90th Percentile Error % | 36.9% | 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 |