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Stellar_____ t1_j9cd80k wrote

Hi guys,

I’m looking into machine learning and it’s use in shark conservation. The below figure shows the effectiveness of image classification of sharks.

Can anybody help me interpret this? The internet is telling me that if you follow two species to where they meet, the colour in the square represents how often one has been mistaken for the other. But if this is the case, why is there a uniform line down the middle showing a much higher number?

Thanks in advance from a confused biologist…

Normalized Confusion Matrix

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Ferocious_Armadillo t1_j9dgsw0 wrote

The “line down the middle” is where the “predicted” shark is the true shark (the type of shark was guessed correctly. The color of the square represents the certainty of the guess. *How confident is the software that it made the “right” guess? In these cases, it’s 100% confident since it is the right one!)

Pretty cool if you ask me!

You can match them up to see for yourself.

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