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Accuracy of an estimator is the degree of closeness of the estimates to the true value. For a classifier, accuracy is the proportion of correct classifications. (This second usage is not good practice. See the tag wiki for a link to further information.)

1 vote

(ANNs) Fair comparisons between different inputs to the model

I'd say generally not, but in this case yes. There's an underlying assumption here that you are not changing the topology of the dataset and therefore the hyperparameters required should be the same …
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