Classification challenges involve grouping input data into certain classes based on the properties of that data.
classification challenges are a generalisation of decision-problem 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.
classification also covers decision-problem 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.
