Two-class classification method for predicting class to which specific item belongs, and computing device using same
Abstract:
A computing device of the present invention estimates an unknown parameter β of a model formula when distributed sample data is acquired, wherein when an estimated quantity of β is acquired, a function g is estimated using a random forest model, such that when an estimated quantity of g is acquired, the estimated quantity of g and the estimated quantity of β are used so as estimate a function G as a prediction formula for new data corresponding to a specific item such that an estimated quantity of G is acquired, and thus new data xnew is received, thereby enabling the class of the specific item to be classified from the calculated value.
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