Inductive integrated forecasting
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The application of background conformal prediction uses past experience to determine the precise level of confidence in the new prediction. Given a probability error E, together with a method, a label ˆ YY can be predicted. It generates a set of labels, usually containing ˆ y, and the probability of containing y is 1 E. conformal prediction can be applied to any method to produce ˆ Y: nearest neighbor method, a support vector machine, ridge regression and other key technologies. Conformal prediction uses past experience to determine the confidence of accurate prediction level.