How to interpret results? (weird predictions)

[nikich340]

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]

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

[lin-tianyu]

@nikich340 @wenruifan Hi guys, I am having the same problem here. Have you figured it out?

[JaaaaaaaamesL]

@lin-tianyu Same here. Do you have any updates?

[nikich340]

I remember I checked the image where it shows parts considered the most important by AI and they were some random nonsense parts.. And the results were inaccurate, so I gave up trying to use AI for x-rays.