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imagine that this classifier was run on a test set to evaluate the quality of the model. In this test set, there were 58 mushrooms
imagine that this classifier was run on a test set to evaluate the quality of the model. In this test set, there were 58 mushrooms that were edible and 32 mushrooms that were poisonous. When run on the full test set of 90 mushrooms, the classifier managed to correctly identify 48 mushrooms as edible, and managed to correctly identify 22 mushrooms as poisonous.
When answering the following parts, please consider EDIBLE to be TRUE and POISONOUS to be FALSE. Calculate the sensitivity. Calculate the specificity.
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