I’m supposed to classify a MNIST dataset (done). There are of course some wrong classification. I’m asked to remove data objects that I think is useless for classifying this dataset in the training phase. I’ve seen the confusion matrix and know that there are some instances that are wrongly classified. How can I deal with them or maybe remove them? Is it possible that they might be useless cause I was thinking that it would be important to be working with the full dataset rather than removing some? Sorry for any confusion. The instructions were not very clear PS. I’m working with WEKA
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