Evidence Type
An Evidence Type represents the level of information used in roof age calculation.
Evidence Types range from Type 0 to Type 8 representing increasing levels information that has been used in the calculation. The Evidence Type summarizes the following data points:
- the amount of imagery available,
- whether a roof installation was detected in the imagery, and
- whether there is supporting evidence that corroborates the predicted installation data.
Supporting evidence may be relevant building permits and/or assessor year-built data that is within one year of the predicted roof installation date. Having supplementary evidence that isn’t imagery-based yet supports the imagery predictions strengthens confidence in the results and is reflected in both the Evidence Type and the Trust Score.
Evidence Type examples
The illustration below shows the available captures, supporting evidence and roof installation dates for example roof timelines.
Trust Score
Each Evidence Type is associated with a Trust Score range. This represents the range of possible values that a roof age predition with that Evidence Type can have. A higher amount of evidence used will result in a higher Trust Score. The Trust Score also takes into account the model prediction confidence as well as other factors such as the recency and type of evidence used.
The table below describes the Trust Score associated with each of the Evidence Types provided with the Roof Age output.
Interpreting the Trust Score
The Trust Score reflects the reliability of the predicted roof age, enabling you to rank or filter predictions from most to least dependable. Combined with the Evidence Type, it provides flexibility for integrating Roof Age outputs smoothly into existing workflows and internal processes.
The Trust Score ranges shown in the table above indicate the expected accuracy of roof age predictions. That said, depending on your workflow, you may choose to consider values above or below the Trust Score when evaluating risk.