A classifier is trained on a cancer dataset, and achieves 96%
accuracy on new observations. Why...
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A classifier is trained on a cancer dataset, and achieves 96%accuracy on new observations. Why might this not be considered agood classifier? How could it be improved?
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This can not be considered as a good classifier because remaining 4 of accuracy is not given by the classifier which is a large amount Had it been close to 99 or more then we would have considered it a good classifier Some
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