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The Iris data set has N = 1 5 0 items. We split the data into a training set and a testing set, and train
The Iris data set has items. We split the data into a training set and a testing set, and
train and evaluate a classifier. In the confusion matrix shown below, we see that the accuracy under
the loss function is
Confusion matrix, without normalization
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