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Classification challenges involve grouping input data into certain classes based on the properties of that data.

challenges are a generalisation of challenges, where the possible outputs are open to more than 2 binary outputs. Such challenges typically involve grouping, sorting or labelling the input into 3 or more categories, based on specific properties of the input.

also covers style challenges where answers are allowed some degree of fault, making mistakes a certain percentage of the time, or with some allowed margin of error.