Method and apparatus for predicting categories

Abstract

The invention provides a classification predicting method and device; the method comprises the following steps: determining a plurality of first prediction models, wherein each prediction model is used for dividing embodiments into a plurality of groups, each group corresponds to one label classification of various label classifications and the label classification comprises at least one label; combining the plurality of first prediction models into a second prediction model according to mutual relations between the labels of the plurality of first prediction models, wherein the second prediction model is used for classifying embodiments into a plurality of groups, each group of the second prediction groups corresponds to a multi-label classification of a plurality of multi-label classifications, and the multi-label classification comprises a plurality of labels; determining a probability of the present embodiment belonging to each of the plurality of multi-label classifications according to the second prediction model, thus predicting the present embodiment classification with simple calculation.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a method and device for predicting categories. Background technique [0002] Forecasting is one of the most important technologies in data mining with a wide range of applications. Forecasting is to obtain a forecasting model by learning the correlation between input values ​​and output values ​​​​of sample data (historical data), and then use the model to predict future input values. Output value prediction. Prediction includes classification and regression. Classification is to construct a classifier according to the characteristics of the data set. Using the classifier to assign categories to objects of unknown categories, regression is to understand whether two or more variables are related and related directions. A technique for predicting variables of interest to the researcher with intensity and building mathematical models for observing specific variables. [0003] In the exi...

AI Technical Summary

Problems solved by technology

In this algorithm, it is necessary to use multiple prediction models to predict the predicted objects separately, and the calculation amount is relatively large.

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