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How to interpret results? (weird predictions) #17

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nikich340 opened this issue Nov 2, 2023 · 1 comment
Open

How to interpret results? (weird predictions) #17

nikich340 opened this issue Nov 2, 2023 · 1 comment

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@nikich340
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Tested on some pneumonia image, getting these predictions:

[array([[0.49470618, 0.49632818, 0.501808  , 0.49816415, 0.49443188,
              0.4973687 , 0.5035202 , 0.50338894, 0.49944744, 0.4980956 ,
              0.5006629 , 0.5109319 , 0.5024933 , 0.48189908],
             [0.48987147, 0.4886013 , 0.505182  , 0.50687265, 0.49118397,
              0.50182277, 0.5023532 , 0.50404346, 0.49911276, 0.49427748,
              0.49890172, 0.51351357, 0.5014591 , 0.48301208]], dtype=float32)]

What does it mean? I think predictions should give 1.0 in total, here it seems to suspect every pathology with 50% probability, how so?
The same happens for both best_64_5e-05_original_22000_0.864.pt and best_128_5e-05_original_22000_0.855.pt weights.

@wenruifan
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@nikich340 Hi, did you figure out what is the problem? I encounter the same situation.

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