Planet Classification Challenge

[ecdrid]

Understanding Softmax/Probabilities Output on a multi-class classification problem

On a dog and cat example the output is very easy, if it’s closer to 0 it predicts a cat and if it’s closer to 1, a dog. If it’s closer to 0.5 it means that the model is confused and has no idea what to predict. I try to apply the same steps for the fisheries competition (the-nature-conservancy-fisheries-monitoring) where you have 8 classes. So what I have so far is the following: a log_preds variable (shape: (482, 8)), where each line corresponds to the tested image, and each column correspon…

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