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Given a dataset where the dataset is not linearly-separable, and each of the fea- tures have continuous values, which of the following algorithms is more

Given a dataset where the dataset is not linearly-separable, and each of the fea- tures have continuous values, which of the following algorithms is more ideally suited a) perceptron b) decision-trees c) neural-networks. Why?

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