Geometry sets hard limits on ML accuracy
A geometric framework sets provable, model-independent ceilings on how accurate any ML model can be for a given noisy dataset.
A geometric framework sets provable, model-independent ceilings on how accurate any ML model can be for a given noisy dataset.