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PreviousYou are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is an example of (i) supervised learning (ii) unsupervised learning (iii) serration (iv) dimensionality reductionNext_______ is a comparison of the general features of the target class data objects against the general features of objects from one or multiple contrasting classes. (i) Data characterization (ii) Data classification (iii) Data discrimination (iv) Data selection