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@@ -66,9 +66,9 @@ F1-confidence curves shows us the ideal balance between precision and recall and
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  Normalized Confusion Matrix shows the percentage of true predictions against all of the other classes in the dataset. Here we can see that my model has difficulties correctly predicting some of my smaller classes as well as the pups.
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- ### Model Assesment
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> This model is to be used by scientist studying Pinniped populations and destributions on the California Coastline. It could be used to show changing population dynamics between eg. California Sea Lions and Northern Fur Seals.
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  Normalized Confusion Matrix shows the percentage of true predictions against all of the other classes in the dataset. Here we can see that my model has difficulties correctly predicting some of my smaller classes as well as the pups.
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+ ### Model Assessment
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+ This model is to be used by scientist studying Pinniped populations and destributions on the California Coastline. It could be used to show changing population dynamics between eg. California Sea Lions and Northern Fur Seals.
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