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rginjapan avatar rginjapan commented on July 4, 2024

for example if batch size = 1, the y_pred is [0.1,0.2], y is[0,1].

  • Does y_pred represent the distance to class 1 is 0.1 and to class 2 is 0.2?
  • Or y_pred means it closer to class 1 centroid since 0.1<0.2?
  • Or the prediction has higher uncertainy to class 2 than class 1 since 0.2>0.1?

As for accuracy, I did not understand whay y_pred is [0.1,0.2], y is[0,1] then accuracy is 1. If the prediction is closer to class 1 since 0.1<0.2, so the classfication should be [1,0] then the accruay should be 0, right?

from deterministic-uncertainty-quantification.

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