“get more false positives in a way. And basically, we just…” — Practical AI at 29:55
“get more false positives in a way. And basically, we just decided on that threshold. We didn't do any optimization on that particularly. From there, when we actually used the model on the test set, we suddenly got a huge jump in the score. That was basically it. So we were covering about 20 to 30% of the images. Even…”
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