Method and device for constructing classifier
A construction method and classifier technology, applied in the computer field, can solve the problems of non-representation and low accuracy of classification results, and achieve the effect of high reference value
Inactive Publication Date: 2018-11-30
BEIJING FRIENDSHIP HOSPITAL CAPITAL MEDICAL UNIV
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However, the data in these aspects are not representative, which makes the accuracy of the classification results obtained by the existing classification methods low.
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[0060] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0061] Some processes described in the specification, claims, and above-mentioned drawings of the present application contain multiple operations appearing in a specific order, and these operations may not be executed in the order in which they appear herein or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. Additionally, these processes can include more or fewer operations, and these operations can be performed sequentially or in parallel. It should be noted that the descriptions of "first" and "second" in this a...
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Embodiments of the application provide a method and a device for constructing a classifier. The method comprises the following steps: acquiring a first feature item traversed in a first feature set; testing a feature item combination formed by the first feature item and a second feature set by combining a cross-validation method and a grid search method to obtain the highest classification accuracy rate of the feature item combination and a parameter structure corresponding to the highest classification accuracy rate; adding the first feature item to the second feature set if the highest classification accuracy rate of the feature item combination is higher than the highest classification accuracy rate of the second feature set; determining whether there is a feature item that is not traversed in the first feature set; if so, continuing to traverse the next feature item in the first feature set until the traversal ends; and constructing a target classifier based on the second feature set at the end of the traversal and the parameter structure corresponding to the highest classification accuracy rate. The technical solution provided by the embodiments of the application can construct a classifier with better classification accuracy.
Description
technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for constructing a classifier. Background technique [0002] In the fields of e-commerce, Internet finance, and medical care, in order to provide users with more precise solutions or service solutions, it is necessary to classify or cluster users. [0003] In the prior art, when grouping or clustering users, the users are classified according to randomly selected data in several aspects. However, the data in these aspects are not representative, which makes the accuracy of the classification results obtained by the existing classification methods low. Contents of the invention [0004] In view of the above problems, the present application is proposed to provide a method and device for constructing a classifier that solves the above problems or at least partially solves the above problems. [0005] Therefore, in one embodiment of the present ap...
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CPCG06F18/2411
Inventor 吕晗刘雅文王振常赵鹏飞杨正汉尹红霞李静刘学焕丁贺宇张鹏王争李瑞
Owner BEIJING FRIENDSHIP HOSPITAL CAPITAL MEDICAL UNIV