AI RESEARCH
Knee or ROC
arXiv CS.LG
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ArXi:2401.07390v3 Announce Type: replace Self-attention transformers have nstrated accuracy for image classification with smaller data sets. However, a limitation is that tests to-date are based upon single class image detection with known representation of image populations. For instances where the input image classes may be greater than one and test sets that lack full information on representation of image populations, accuracy calculations must adapt. The Receiver Operating Characteristic (ROC) accuracy threshold can address the instances of multiclass input images.