Confidence Score
Like all machine learning models, PhysicsAI models are most accurate when the design being predicted is similar to the designs used for training.
Interpret Confidence Scores
A confidence score of 1.0 indicates that the input design is the same as one of the training points. This is the maximum possible value.
A confidence score of 0.0 indicates that the input design is as different from the nearest training point as the two farthest training points.
A negative confidence score indicates that the input design is very different from the training data. It’s likely that the prediction will be low-quality unless a new model is trained with designs similar to .
Missing Confidence Scores
- Your training or input designs either do not have shell elements or do not have extracted solid faces. Confidence scores are currently only supported in these scenarios.
- Your training data contains less than two samples.
- You are using physicsAI in a client other than HyperMesh.