One way we use AI at Betterview is to classify the shape and material of each roof. The best way to be transparent in this case is to provide an intuitive score that indicates how likely we are to be correct. This is the classic confidence score, which is clear and intuitive, yet mathematically rigorous: If we say we are 95% confident, we expect to be correct 95% of the time. For example, if we say that a building has a gable roof, or that the roof is made of asphalt shingles, we provide an exact measure of how confident we are.
In order to view the Shape and Material Confidence Scores, scroll to the Roof Size & Shape Section and click on that selection to view the Roof Size & Shapes
Next, hover over the three vertical dots (⋮) to view the confidence score
We provide that intuitive definition of confidence because it is important to be clear about what a “confidence” score is. Some statistical models, such as neural networks, are very complex, and it’s easy to be misled by their output. The results of modern neural networks need to be carefully calibrated so that they represent accurate confidence scores. These calibrated confidence scores are what we provide to our customers.
